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Ubuntu 24.04 Linux
With 2x32GB 4800 MT/s CL38 DDR5 RAM
| framework | Backend | Device | Single | Half | Quant. | Results |
|---|---|---|---|---|---|---|
TensorFlow Lite | CPU | Intel Core Ultra 9 185H | 1971 | 2037 | 1382 | https://browser.geekbench.com/ai/v1/259291 |
ONNX | CPU | Intel Core Ultra 9 185H | 2138 | 643 | 5634 | https://browser.geekbench.com/ai/v1/259319 |
OpenVINO | CPU | Intel Core Ultra 9 185H |
280.9 IPS
265.6 IPS
185.1 IPS
36.5 IPS
36.4 IPS
16.8 IPS
2.75 IPS
2.69 IPS
3.78 IPS
131.2 IPS
130.7 IPS
82.4 IPS
36.5 IPS
36.4 IPS
27.2 IPS
17.9 IPS
19.3 IPS
18.4 IPS
3.72 IPS
3.76 IPS
7.29 IPS
55.2 IPS
70.6 IPS
54.2 IPS
1.64 KIPS
1.47 KIPS
524.3 IPS
30.5 IPS
36.8 IPS
12.2 IPS
b
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root@server6:/mnt/GeekbenchAI-1.3.0-Linux# ./banff --ai-list
Geekbench AI 1.3.0 : https://www.geekbench.com/ai/
Geekbench AI requires an active internet connection and automatically uploads
benchmark results to the Geekbench Browser.
Framework | Backend | Device
1 TensorFlow Lite | 1 CPU | 0 Intel Core Ultra 9 185H
3 ONNX | 1 CPU | 0 Intel Core Ultra 9 185H
4 OpenVINO | 1 CPU | 0 Intel(R) Core(TM) Ultra 9 185H
|
Install
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wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-driver-compiler-npu_1.17.0.20250508-14912879441_ubuntu24.04_amd64.deb
wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-fw-npu_1.17.0.20250508-14912879441_ubuntu24.04_amd64.deb
wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-level-zero-npu_1.17.0.20250508-14912879441_ubuntu24.04_amd64.deb
dpkg --purge --force-remove-reinstreq intel-driver-compiler-npu intel-fw-npu intel-level-zero-npu
apt update
apt install libtbb12
dpkg -i *.deb
wget https://github.com/oneapi-src/level-zero/releases/download/v1.21.9/level-zero_1.21.9+u24.04_amd64.deb
dpkg -i level-zero*.deb
|
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# OpenVino
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB
echo "deb https://apt.repos.intel.com/openvino/2025 ubuntu24 main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2025.list
apt update
apt-cache search openvino
apt install openvino
python3 /usr/share/openvino/samples/python/hello_query_device/hello_query_device.py
#Geekbench
mkdir Geekbench
cd Geekbench
wget https://cdn.geekbench.com/GeekbenchAI-1.3.0-Linux.tar.gz
tar xvf GeekbenchAI-1.3.0-Linux.tar.gz
cd GeekbenchAI-1.3.0-Linux/ |
Check Available frameworks
Ubuntu 24.04
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root@server5:/storage/apps/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --ai-list
Geekbench AI 1.3.0 : https://www.geekbench.com/ai/
Geekbench AI requires an active internet connection and automatically uploads
benchmark results to the Geekbench Browser.
Framework | Backend | Device
1 TensorFlow Lite | 1 CPU | 0 Intel(R) N150
3 ONNX | 1 CPU | 0 Intel(R) N150
4 OpenVINO | 1 CPU | 0 Intel(R) N150
|
Ubuntu 25.04
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root@server5:/storage/apps/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --ai-list
Geekbench AI 1.3.0 : https://www.geekbench.com/ai/
Geekbench AI requires an active internet connection and automatically uploads
benchmark results to the Geekbench Browser.
Framework | Backend | Device
1 TensorFlow Lite | 1 CPU | 0 Intel(R) N150
3 ONNX | 1 CPU | 0 Intel(R) N150
4 OpenVINO | 1 CPU | 0 Intel(R) N150
4 OpenVINO | 2 GPU | 1 Intel(R) Graphics (iGPU)
|
help
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root@server5:/storage/apps/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --help
Geekbench AI 1.3.0 : https://www.geekbench.com/ai/
Usage:
./banff [ options ]
Options:
-h, --help print this message
AI Benchmark Options:
--ai run the AI benchmark
--ai-framework [ID] use AI framework ID
--ai-backend [ID] use AI backend ID
--ai-device [ID] use AI device ID
--ai-list list available AI settings
If no options are given, the default action is to run the inference benchmark.
|
example run
| 4507 | 4541 | 10765 | https://browser.geekbench.com/ai/v1/259321 | |||
OpenVINO | GPU | Intel(R) Arc(TM) Graphics (iGPU) | 4958 | 8259 | 11080 | https://browser.geekbench.com/ai/v1/259327 |
With 2x64GB 5600 MT/s CL46 DDR5 RAM
governor: performance, PL1=70W, PL2=80W
| framework | Backend | Device | Single | Half | Quant. | Results |
|---|---|---|---|---|---|---|
TensorFlow Lite | CPU | Intel Core Ultra 9 185H | 2174 | 2165 | 1413 | https://browser.geekbench.com/ai/v1/259993 |
ONNX | CPU | Intel Core Ultra 9 185H | 2304 | 716 | 5762 | https://browser.geekbench.com/ai/v1/260000 |
OpenVINO | CPU | Intel Core Ultra 9 185H | 4631 | 4682 | 11063 | https://browser.geekbench.com/ai/v1/260002 |
OpenVINO | GPU | Intel(R) Arc(TM) Graphics (iGPU) | 6196 | 9348 | 13454 | https://browser.geekbench.com/ai/v1/260003 |
| Workload (TF Lite) | Accuracy | Score | Workload (ONNX) | Accuracy | Score | Workload (OpenVINO-CPU) | Accuracy | Score | Workload (OpenVINO-GPU) | Accuracy | Score |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Image Classification (SP) | 100% | 1510 280.9 IPS | Image Classification (SP) | 100% | 1106 205.7 IPS | Image Classification (SP) | 100% | 2587 481.0 IPS | Image Classification (SP) | 100% | 2587 481.0 IPS |
| Image Classification (HP) | 100% | 1428 265.6 IPS | Image Classification (HP) | 100% | 133 24.6 IPS | Image Classification (HP) | 100% | 2716 505.1 IPS | Image Classification (HP) | 100% | 4288 797.5 IPS |
| Image Classification (Q) | 99% | 993 185.1 IPS | Image Classification (Q) | 97% | 4177 779.5 IPS | Image Classification (Q) | 100% | 6637 1.23 KIPS | Image Classification (Q) | 100% | 5112 950.6 IPS |
| Image Segmentation (SP) | 100% | 2253 36.5 IPS | Image Segmentation (SP) | 100% | 1141 18.5 IPS | Image Segmentation (SP) | 100% | 3453 56.0 IPS | Image Segmentation (SP) | 100% | 3131 50.7 IPS |
| Image Segmentation (HP) | 100% | 2243 36.4 IPS | Image Segmentation (HP) | 100% | 209 3.38 IPS | Image Segmentation (HP) | 100% | 3468 56.2 IPS | Image Segmentation (HP) | 100% | 6965 112.9 IPS |
| Image Segmentation (Q) | 98% | 1035 16.8 IPS | Image Segmentation (Q) | 99% | 2658 43.2 IPS | Image Segmentation (Q) | 99% | 6945 112.6 IPS | Image Segmentation (Q) | 99% | 9262 150.6 IPS |
| Pose Estimation (SP) | 100% | 2357 2.75 IPS | Pose Estimation (SP) | 100% | 3668 4.28 IPS | Pose Estimation (SP) | 100% | 5030 5.87 IPS | Pose Estimation (SP) | 100% | 22411 26.1 IPS |
| Pose Estimation (HP) | 100% | 2309 2.69 IPS | Pose Estimation (HP) | 100% | 3007 3.51 IPS | Pose Estimation (HP) | 100% | 5100 5.95 IPS | Pose Estimation (HP) | 99% | 20212 23.7 IPS |
| Pose Estimation (Q) | 96% | 3224 3.78 IPS | Pose Estimation (Q) | 94% | 20021 23.5 IPS | Pose Estimation (Q) | 96% | 18872 22.1 IPS | Pose Estimation (Q) | 97% | 44712 52.3 IPS |
| Object Detection (SP) | 100% | 1654 131.2 IPS | Object Detection (SP) | 100% | 1544 122.5 IPS | Object Detection (SP) | 100% | 2648 210.0 IPS | Object Detection (SP) | 100% | 2429 192.7 IPS |
| Object Detection (HP) | 100% | 1648 130.7 IPS | Object Detection (HP) | 100% | 269 21.3 IPS | Object Detection (HP) | 100% | 2652 210.4 IPS | Object Detection (HP) | 100% | 3775 299.4 IPS |
| Object Detection (Q) | 85% | 1024 82.4 IPS | Object Detection (Q) | 86% | 4605 370.1 IPS | Object Detection (Q) | 88% | 6968 558.5 IPS | Object Detection (Q) | 88% | 6319 506.4 IPS |
| Face Detection (SP) | 100% | 3071 36.5 IPS | Face Detection (SP) | 100% | 2807 33.4 IPS | Face Detection (SP) | 100% | 7234 86.0 IPS | Face Detection (SP) | 100% | 5692 67.6 IPS |
| Face Detection (HP) | 100% | 3060 36.4 IPS | Face Detection (HP) | 100% | 314 3.73 IPS | Face Detection (HP) | 100% | 7248 86.1 IPS | Face Detection (HP) | 100% | 11061 131.4 IPS |
| Face Detection (Q) | 97% | 2278 27.2 IPS | Face Detection (Q) | 97% | 12436 148.3 IPS | Face Detection (Q) | 100% | 14581 173.3 IPS | Face Detection (Q) | 100% | 16836 200.0 IPS |
| Depth Estimation (SP) | 100% | 2317 17.9 IPS | Depth Estimation (SP) | 100% | 4220 32.5 IPS | Depth Estimation (SP) | 100% | 6716 51.7 IPS | Depth Estimation (SP) | 100% | 12001 92.5 IPS |
| Depth Estimation (HP) | 99% | 2507 19.3 IPS | Depth Estimation (HP) | 99% | 1121 8.64 IPS | Depth Estimation (HP) | 99% | 6752 52.0 IPS | Depth Estimation (HP) | 98% | 20362 157.4 IPS |
| Depth Estimation (Q) | 63% | 1964 18.4 IPS | Depth Estimation (Q) | 78% | 13848 110.5 IPS | Depth Estimation (Q) | 89% | 17848 138.8 IPS | Depth Estimation (Q) | 89% | 22566 175.4 IPS |
| Style Transfer (SP) | 100% | 2892 3.72 IPS | Style Transfer (SP) | 100% | 9110 11.7 IPS | Style Transfer (SP) | 100% | 15042 19.3 IPS | Style Transfer (SP) | 100% | 46431 59.7 IPS |
| Style Transfer (HP) | 100% | 2928 3.76 IPS | Style Transfer (HP) | 100% | 7498 9.64 IPS | Style Transfer (HP) | 100% | 14930 19.2 IPS | Style Transfer (HP) | 100% | 62424 80.2 IPS |
| Style Transfer (Q) | 98% | 5650 7.29 IPS | Style Transfer (Q) | 98% | 17976 23.2 IPS | Style Transfer (Q) | 98% | 52607 67.8 IPS | Style Transfer (Q) | 98% | 115671 149.2 IPS |
| Image Super-Resolution (SP) | 100% | 1494 55.2 IPS | Image Super-Resolution (SP) | 100% | 1774 65.5 IPS | Image Super-Resolution (SP) | 100% | 3022 111.6 IPS | Image Super-Resolution (SP) | 100% | 4275 157.9 IPS |
| Image Super-Resolution (HP) | 100% | 1911 70.6 IPS | Image Super-Resolution (HP) | 100% | 1166 43.1 IPS | Image Super-Resolution (HP) | 100% | 3020 111.5 IPS | Image Super-Resolution (HP) | 100% | 11896 439.2 IPS |
| Image Super-Resolution (Q) | 97% | 1463 54.2 IPS | Image Super-Resolution (Q) | 99% | 3013 111.6 IPS | Image Super-Resolution (Q) | 99% | 10997 407.3 IPS | Image Super-Resolution (Q) | 99% | 17460 646.6 IPS |
| Text Classification (SP) | 100% | 1229 1.64 KIPS | Text Classification (SP) | 100% | 1105 1.48 KIPS | Text Classification (SP) | 100% | 2778 3.71 KIPS | Text Classification (SP) | 71% | 1028 1.49 KIPS |
| Text Classification (HP) | 100% | 1105 1.47 KIPS | Text Classification (HP) | 100% | 333 444.7 IPS | Text Classification (HP) | 100% | 2783 3.71 KIPS | Text Classification (HP) | 71% | 1545 2.24 KIPS |
| Text Classification (Q) | 92% | 390 524.3 IPS | Text Classification (Q) | 97% | 1083 1.45 KIPS | Text Classification (Q) | 92% | 4816 6.47 KIPS | Text Classification (Q) | 92% | 1499 2.01 KIPS |
| Machine Translation (SP) | 100% | 1771 30.5 IPS | Machine Translation (SP) | 100% | 1320 22.7 IPS | Machine Translation (SP) | 100% | 4745 81.7 IPS | Machine Translation (SP) | 100% | 1463 25.2 IPS |
| Machine Translation (HP) | 100% | 2135 36.8 IPS | Machine Translation (HP) | 100% | 530 9.14 IPS | Machine Translation (HP) | 100% | 4772 82.2 IPS | Machine Translation (HP) | 96% | 2510 43.4 IPS |
| Machine Translation (Q) | 58% | 520 12.2 IPS | Machine Translation (Q) | 65% | 3117 62.6 IPS | Machine Translation (Q) | 100% | 4756 81.9 IPS | Machine Translation (Q) | 100% | 1814 31.3 IPS |
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wget https://cdn.geekbench.com/GeekbenchAI-1.3.0-Linux.tar.gz
tar xvf GeekbenchAI-1.3.0-Linux.tar.gz
cd GeekbenchAI-1.3.0-Linux/
./banff
|
before some drivers added
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root@server6:/mnt |
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root@server5:/storage/apps/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --ai-framework 1list Geekbench AI 1.3.0 : https://www.geekbench.com/ai/ Geekbench AI requires an active internet connection and automatically uploads benchmark results to the Geekbench Browser. AI Information FrameworkFramework | Backend | Device 1 TensorFlow Lite | 1 CPU | 0 Intel Core Ultra 9 185H 3 ONNX TensorFlow| Lite 1 BackendCPU | 0 Intel Core Ultra 9 185H 4 OpenVINO | 1 CPU Device | 0 Intel(R) Core(TM) Ultra 9 185H |
Install
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# OpenVino wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB sudo apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB echo "deb https://apt.repos.intel.com/openvino/2025 ubuntu24 main" | sudo tee /etc/apt/sources.list.d/intel-openvino-2025.list apt update apt-cache search openvino apt install openvino python3 /usr/share/openvino/samples/python/hello_query_device/hello_query_device.py # NPU driver wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-driver-compiler-npu_1.17.0.20250508-14912879441_ubuntu24.04_amd64.deb wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-fw-npu_1.17.0.20250508-14912879441_ubuntu24.04_amd64.deb wget https://github.com/intel/linux-npu-driver/releases/download/v1.17.0/intel-level-zero-npu_1.17.0.20250508-14912879441_ubuntu24.04_amd64.deb dpkg --purge --force-remove-reinstreq intel-driver-compiler-npu intel-fw-npu intel-level-zero-npu apt update apt install libtbb12 dpkg -i *.deb wget https://github.com/oneapi-src/level-zero/releases/download/v1.21.9/level-zero_1.21.9+u24.04_amd64.deb dpkg -i level-zero*.deb |
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#Geekbench
mkdir Geekbench
cd Geekbench
wget https://cdn.geekbench.com/GeekbenchAI-1.3.0-Linux.tar.gz
tar xvf GeekbenchAI-1.3.0-Linux.tar.gz
cd GeekbenchAI-1.3.0-Linux/
./banff --ai-list
./banff --ai-framework 1 --ai-backend 1 --ai-device 0
./banff --ai-framework 3 --ai-backend 1 --ai-device 0
./banff --ai-framework 4 --ai-backend 1 --ai-device 0
./banff --ai-framework 4 --ai-backend 2 --ai-device 1 |
Check Available frameworks
Ubuntu 24.04
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root@server6:/mnt/GeekbenchAI-1.3.0-Linux# ./banff --ai-list Geekbench AI 1.3.0 : https://www.geekbench.com/ai/ Geekbench AI requires an active internet connection and automatically uploads benchmark results to the Geekbench Browser. Framework | Backend | Device 1 TensorFlow Lite | 1 CPUIntel(R) N150 System Information Operating System Ubuntu 24.04.2 LTS Model GMKtec NucBoxG9 Motherboard GMKtec GMKtec BIOS American Megatrends International, LLC. 5.27 CPU Information Name Intel(R) N150 Topology 1 Processor, 4 Cores Identifier GenuineIntel Family 6 Model 190 Stepping 0 Base Frequency 3.60 GHz Memory Information Size 11.4 GB Running Image Classification (SP) INFO: Initialized TensorFlow Lite runtime. INFO: Applying 1 TensorFlow Lite delegate(s) lazily. Running Image Classification (HP) INFO: Applying 1 TensorFlow Lite delegate(s) lazily. Running Image Classification (Q) Running Image Segmentation (SP) INFO: Applying 1 TensorFlow Lite delegate(s) lazily. Running Image Segmentation (HP) INFO: Applying 1 TensorFlow Lite delegate(s) lazily. Running Image Segmentation (Q) Running Pose Estimation (SP) INFO: Applying 1 TensorFlow Lite delegate(s) lazily. Running Pose Estimation (HP) INFO: Applying 1 TensorFlow Lite delegate(s) lazily. Running Pose Estimation (Q) ...| 0 Intel Core Ultra 9 185H 3 ONNX | 1 CPU | 0 Intel Core Ultra 9 185H 4 OpenVINO | 1 CPU | 0 Intel(R) Core(TM) Ultra 9 185H 4 OpenVINO | 2 GPU | 1 Intel(R) Arc(TM) Graphics (iGPU) |
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root@server6:/mnt/GeekbenchAI-1.3.0-Linux# python3 /usr/share/openvino/samples/python/hello_query_device/hello_query_device.py
[ INFO ] Available devices:
[ INFO ] CPU :
[ INFO ] SUPPORTED_PROPERTIES:
[ INFO ] AVAILABLE_DEVICES:
[ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS: 1, 1, 1
[ INFO ] RANGE_FOR_STREAMS: 1, 22
[ INFO ] EXECUTION_DEVICES: CPU
[ INFO ] FULL_DEVICE_NAME: Intel(R) Core(TM) Ultra 9 185H
[ INFO ] OPTIMIZATION_CAPABILITIES: FP32, INT8, BIN, EXPORT_IMPORT
[ INFO ] DEVICE_TYPE: Type.INTEGRATED
[ INFO ] DEVICE_ARCHITECTURE: intel64
[ INFO ] NUM_STREAMS: 1
[ INFO ] INFERENCE_NUM_THREADS: 0
[ INFO ] PERF_COUNT: False
[ INFO ] INFERENCE_PRECISION_HINT: <Type: 'float32'>
[ INFO ] PERFORMANCE_HINT: PerformanceMode.LATENCY
[ INFO ] EXECUTION_MODE_HINT: ExecutionMode.PERFORMANCE
[ INFO ] PERFORMANCE_HINT_NUM_REQUESTS: 0
[ INFO ] ENABLE_CPU_PINNING: True
[ INFO ] ENABLE_CPU_RESERVATION: False
[ INFO ] SCHEDULING_CORE_TYPE: SchedulingCoreType.ANY_CORE
[ INFO ] MODEL_DISTRIBUTION_POLICY: set()
[ INFO ] ENABLE_HYPER_THREADING: True
[ INFO ] DEVICE_ID:
[ INFO ] CPU_DENORMALS_OPTIMIZATION: False
[ INFO ] LOG_LEVEL: Level.NO
[ INFO ] CPU_SPARSE_WEIGHTS_DECOMPRESSION_RATE: 1.0
[ INFO ] DYNAMIC_QUANTIZATION_GROUP_SIZE: 32
[ INFO ] KV_CACHE_PRECISION: <Type: 'uint8_t'>
[ INFO ] KEY_CACHE_PRECISION: <Type: 'uint8_t'>
[ INFO ] VALUE_CACHE_PRECISION: <Type: 'uint8_t'>
[ INFO ] KEY_CACHE_GROUP_SIZE: 0
[ INFO ] VALUE_CACHE_GROUP_SIZE: 0
[ INFO ]
[ INFO ] GPU :
[ INFO ] SUPPORTED_PROPERTIES:
[ INFO ] AVAILABLE_DEVICES: 0
[ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS: 1, 2, 1
[ INFO ] RANGE_FOR_STREAMS: 1, 2
[ INFO ] OPTIMAL_BATCH_SIZE: 1
[ INFO ] MAX_BATCH_SIZE: 1
[ INFO ] DEVICE_ARCHITECTURE: GPU: vendor=0x8086 arch=v12.71.4
[ INFO ] FULL_DEVICE_NAME: Intel(R) Arc(TM) Graphics (iGPU)
[ INFO ] DEVICE_UUID: 8680557d080000000002000000000000
[ INFO ] DEVICE_LUID: 409a0000499a0000
[ INFO ] DEVICE_TYPE: Type.INTEGRATED
[ INFO ] DEVICE_GOPS: {<Type: 'float16'>: 9625.599609375, <Type: 'float32'>: 4812.7998046875, <Type: 'int8_t'>: 19251.19921875, <Type: 'uint8_t'>: 19251.19921875}
[ INFO ] OPTIMIZATION_CAPABILITIES: FP32, BIN, FP16, INT8, EXPORT_IMPORT
[ INFO ] GPU_DEVICE_TOTAL_MEM_SIZE: 62438608896
[ INFO ] GPU_UARCH_VERSION: 12.71.4
[ INFO ] GPU_EXECUTION_UNITS_COUNT: 128
[ INFO ] GPU_MEMORY_STATISTICS: {}
[ INFO ] PERF_COUNT: False
[ INFO ] MODEL_PRIORITY: Priority.MEDIUM
[ INFO ] GPU_HOST_TASK_PRIORITY: Priority.MEDIUM
[ INFO ] GPU_QUEUE_PRIORITY: Priority.MEDIUM
[ INFO ] GPU_QUEUE_THROTTLE: Priority.MEDIUM
[ INFO ] GPU_ENABLE_SDPA_OPTIMIZATION: True
[ INFO ] GPU_ENABLE_LOOP_UNROLLING: True
[ INFO ] GPU_DISABLE_WINOGRAD_CONVOLUTION: False
[ INFO ] CACHE_DIR:
[ INFO ] CACHE_MODE: CacheMode.OPTIMIZE_SPEED
[ INFO ] PERFORMANCE_HINT: PerformanceMode.LATENCY
[ INFO ] EXECUTION_MODE_HINT: ExecutionMode.PERFORMANCE
[ INFO ] COMPILATION_NUM_THREADS: 22
[ INFO ] NUM_STREAMS: 1
[ INFO ] PERFORMANCE_HINT_NUM_REQUESTS: 0
[ INFO ] INFERENCE_PRECISION_HINT: <Type: 'float16'>
[ INFO ] ENABLE_CPU_PINNING: False
[ INFO ] ENABLE_CPU_RESERVATION: False
[ INFO ] DEVICE_ID: 0
[ INFO ] DYNAMIC_QUANTIZATION_GROUP_SIZE: 0
[ INFO ] ACTIVATIONS_SCALE_FACTOR: -1.0
[ INFO ] WEIGHTS_PATH:
[ INFO ] CACHE_ENCRYPTION_CALLBACKS: UNSUPPORTED TYPE
[ INFO ] KV_CACHE_PRECISION: <Type: 'dynamic'>
[ INFO ] MODEL_PTR: UNSUPPORTED TYPE
[ INFO ]
[ INFO ] NPU :
[ INFO ] SUPPORTED_PROPERTIES:
[ INFO ] AVAILABLE_DEVICES: 3720
[ INFO ] CACHE_DIR:
[ INFO ] COMPILATION_NUM_THREADS: 22
[ INFO ] DEVICE_ARCHITECTURE: 3720
[ INFO ] DEVICE_GOPS: {<Type: 'bfloat16'>: 0.0, <Type: 'float16'>: 4300.7998046875, <Type: 'float32'>: 0.0, <Type: 'int8_t'>: 8601.599609375, <Type: 'uint8_t'>: 8601.599609375: 8601.599609375}
[ INFO ] DEVICE_ID:
[ INFO ] DEVICE_PCI_INFO: {domain: 0 bus: 0 device: 0xb function: 0}
[ INFO ] DEVICE_IDTYPE: Type.INTEGRATED
[ INFO ] DEVICE_PCI_INFO: {domain: 0 bus: 0 device: 0xb function: 0}UUID: 80d1d11eb73811eab3de0242ac130004
[ INFO ] ENABLE_CPU_PINNING: False
[ INFO ] DEVICEEXECUTION_TYPEDEVICES: Type.INTEGRATEDNPU
[ INFO ] DEVICEEXECUTION_MODE_UUIDHINT: 80d1d11eb73811eab3de0242ac130004ExecutionMode.PERFORMANCE
[ INFO ] ENABLEFULL_CPUDEVICE_PINNINGNAME: False Intel(R) AI Boost
[ INFO ] EXECUTION_DEVICES: NPUINFERENCE_PRECISION_HINT: <Type: 'float16'>
[ INFO ] EXECUTIONLOG_MODE_HINTLEVEL: ExecutionModeLevel.PERFORMANCEERR
[ INFO ] FULLMODEL_DEVICE_NAME: Intel(R) AI BoostPRIORITY: Priority.MEDIUM
[ INFO ] INFERENCENPU_BYPASS_PRECISIONUMD_HINTCACHING: <Type: 'float16'>False
[ INFO ] LOG_LEVEL: Level.ERRNPU_COMPILATION_MODE_PARAMS:
[ INFO ] MODEL_PRIORITYNPU_COMPILER_DYNAMIC_QUANTIZATION: Priority.MEDIUMFalse
[ INFO ] NPU_BYPASS_UMDCOMPILER_CACHINGVERSION: False458772
[ INFO ] NPU_COMPILATIONDEFER_MODEWEIGHTS_PARAMSLOAD: False
[ INFO ] NPU_DEVICE_COMPILERALLOC_DYNAMICMEM_QUANTIZATIONSIZE: False0
[ INFO ] NPU_DEVICE_COMPILERTOTAL_MEM_VERSIONSIZE: 45877266926030848
[ INFO ] NPU_DEFERDRIVER_WEIGHTS_LOADVERSION: False1746727061
[ INFO ] NPU_DEVICE_ALLOC_MEM_SIZEMAX_TILES: 02
[ INFO ] NPU_DEVICE_TOTAL_MEM_SIZEQDQ_OPTIMIZATION: 66926030848False
[ INFO ] NPU_DRIVER_VERSIONTILES: 1746727061-1
[ INFO ] NPU_MAX_TILESTURBO: 2False
[ INFO ] NPUNUM_QDQ_OPTIMIZATIONSTREAMS: False1
[ INFO ] NPU_TILESOPTIMAL_NUMBER_OF_INFER_REQUESTS: -1
[ INFO ] NPUOPTIMIZATION_TURBO: FalseCAPABILITIES: FP16, INT8, EXPORT_IMPORT
[ INFO ] NUMPERFORMANCE_STREAMSHINT: 1PerformanceMode.LATENCY
[ INFO ] OPTIMALPERFORMANCE_NUMBERHINT_OFNUM_INFER_REQUESTS: 1
[ INFO ] OPTIMIZATIONPERF_CAPABILITIESCOUNT: FP16, INT8, EXPORT_IMPORTFalse
[ INFO ] PERFORMANCE_HINT: PerformanceMode.LATENCYRANGE_FOR_ASYNC_INFER_REQUESTS: 1, 10, 1
[ INFO ] PERFORMANCERANGE_HINTFOR_NUM_REQUESTSSTREAMS: 1, 4
[ INFO ] PERFWEIGHTS_COUNTPATH: False
[ INFO ] RANGE_FOR_ASYNC_INFER_REQUESTS: 1, 10, 1
[ INFO ] RANGE_FOR_STREAMS: 1, 4
[ INFO ] WEIGHTS_PATH:
[ INFO ] WORKLOAD_TYPE: WorkloadType.DEFAULT
WORKLOAD_TYPE: WorkloadType.DEFAULT
|
Windows 11
Intel Core Ultra 9 185H, 96GB DDR5
BIOS: Turbo Performance
Windows: Balanced
| Framework | Backend | Single | Half | Quantized | URL |
|---|---|---|---|---|---|
| OpenVino | GPU | 8496 | 13371 | 20718 | https://browser.geekbench.com/ai/v1/256798 |
| OpenVINO | CPU | 2896 | 3003 | 6822 | https://browser.geekbench.com/ai/v1/256805 |
| ONNX | DirectML | 5049 | 8199 | 3647 | https://browser.geekbench.com/ai/v1/256809 |
| ONNX | CPU | 3719 | 1508 | 6668 | https://browser.geekbench.com/ai/v1/256810 |