LENOVO 21KWS56V00
Geekbench ML Score
3129
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 21 2025 10:47 AM |
| Views | 2 |
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% |
1474
275.9 IPS |
|
|
Image Classification (F16)
|
100% |
1492
279.3 IPS |
|
|
Image Classification (I8)
|
99% |
2480
464.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1408
23.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1336
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3007
50.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5786
7.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
5665
6.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
21359
25.9 IPS |
|
|
Object Detection (F32)
|
100% |
1533
114.4 IPS |
|
|
Object Detection (F16)
|
100% |
1556
116.2 IPS |
|
|
Object Detection (I8)
|
62% |
1408
105.1 IPS |
|
|
Face Detection (F32)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (F16)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (I8)
|
89% |
3752
44.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6132
47.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6141
47.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
11410
88.5 IPS |
|
|
Style Transfer (F32)
|
100% |
14386
18.9 IPS |
|
|
Style Transfer (F16)
|
100% |
14326
18.8 IPS |
|
|
Style Transfer (I8)
|
98% |
19009
25.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2596
92.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2667
95.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3916
139.9 IPS |
|
|
Text Classification (F32)
|
100% |
934
1.34 KIPS |
|
|
Text Classification (F16)
|
100% |
894
1.28 KIPS |
|
|
Text Classification (I8)
|
98% |
913
1.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
1584
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1632
30.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2568
47.3 IPS |
