LENOVO 21QNSIT007
Geekbench ML Score
1766
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 26 2025 03:03 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21QNSIT007 |
| Motherboard | LENOVO 21QNSIT007 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 PRO 350 w/ Radeon 860M |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1075
201.2 IPS |
|
|
Image Classification (F16)
|
100% |
1034
193.5 IPS |
|
|
Image Classification (I8)
|
99% |
1843
344.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
810
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1736
29.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2722
3.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
2801
3.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
9806
11.9 IPS |
|
|
Object Detection (F32)
|
100% |
815
60.8 IPS |
|
|
Object Detection (F16)
|
100% |
664
49.5 IPS |
|
|
Object Detection (I8)
|
62% |
1342
100.2 IPS |
|
|
Face Detection (F32)
|
100% |
1803
21.4 IPS |
|
|
Face Detection (F16)
|
100% |
1909
22.7 IPS |
|
|
Face Detection (I8)
|
89% |
3416
40.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2366
18.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2407
18.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
6907
53.6 IPS |
|
|
Style Transfer (F32)
|
100% |
6973
9.17 IPS |
|
|
Style Transfer (F16)
|
100% |
6662
8.76 IPS |
|
|
Style Transfer (I8)
|
98% |
14601
19.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
852
30.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
933
33.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1446
51.6 IPS |
|
|
Text Classification (F32)
|
100% |
662
951.7 IPS |
|
|
Text Classification (F16)
|
100% |
618
888.2 IPS |
|
|
Text Classification (I8)
|
98% |
442
635.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1264
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1277
23.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1924
35.4 IPS |
