LENOVO 21KWS56V00
Geekbench ML Score
3375
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 10:30 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KWS56V00 |
| Motherboard | LENOVO 21KWS56V00 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1643
307.5 IPS |
|
|
Image Classification (F16)
|
100% |
1646
308.1 IPS |
|
|
Image Classification (I8)
|
99% |
2704
506.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1492
24.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1176
19.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3010
50.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5878
7.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
6338
7.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
22771
27.6 IPS |
|
|
Object Detection (F32)
|
100% |
1605
119.8 IPS |
|
|
Object Detection (F16)
|
100% |
1637
122.2 IPS |
|
|
Object Detection (I8)
|
62% |
1595
119.0 IPS |
|
|
Face Detection (F32)
|
100% |
3681
43.8 IPS |
|
|
Face Detection (F16)
|
100% |
3673
43.7 IPS |
|
|
Face Detection (I8)
|
89% |
3927
46.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6719
52.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6793
52.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
12526
97.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15788
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
15557
20.5 IPS |
|
|
Style Transfer (I8)
|
98% |
20108
26.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2771
99.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2835
101.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3980
142.1 IPS |
|
|
Text Classification (F32)
|
100% |
1041
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
1088
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
1046
1.50 KIPS |
|
|
Machine Translation (F32)
|
100% |
1737
32.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1807
33.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2972
54.7 IPS |
