LENOVO 21KWS56V00
Geekbench ML Score
4164
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 09:24 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 | DirectML |
| Device | Intel(R) Arc(TM) Pro Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2399
448.8 IPS |
|
|
Image Classification (F16)
|
100% |
2408
450.7 IPS |
|
|
Image Classification (I8)
|
100% |
1949
364.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
3019
50.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2966
49.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2392
39.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
13909
16.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
14484
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
12253
14.8 IPS |
|
|
Object Detection (F32)
|
100% |
2121
158.4 IPS |
|
|
Object Detection (F16)
|
100% |
2188
163.3 IPS |
|
|
Object Detection (I8)
|
54% |
1794
133.9 IPS |
|
|
Face Detection (F32)
|
100% |
4075
48.5 IPS |
|
|
Face Detection (F16)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (I8)
|
89% |
2982
35.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
9805
76.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10272
79.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
7956
61.7 IPS |
|
|
Style Transfer (F32)
|
100% |
44455
58.5 IPS |
|
|
Style Transfer (F16)
|
100% |
46141
60.7 IPS |
|
|
Style Transfer (I8)
|
98% |
32241
42.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7427
265.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7411
264.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4021
143.6 IPS |
|
|
Text Classification (F32)
|
90% |
762
1.10 KIPS |
|
|
Text Classification (F16)
|
90% |
788
1.13 KIPS |
|
|
Text Classification (I8)
|
90% |
593
852.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1923
35.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1869
34.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1019
18.8 IPS |
