LENOVO 21KWS56V00
Geekbench ML Score
3518
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 07:15 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% |
1657
310.0 IPS |
|
|
Image Classification (F16)
|
100% |
1710
320.1 IPS |
|
|
Image Classification (I8)
|
99% |
2970
555.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1440
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1475
24.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3088
51.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5889
7.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
6274
7.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
23673
28.7 IPS |
|
|
Object Detection (F32)
|
100% |
1662
124.1 IPS |
|
|
Object Detection (F16)
|
100% |
1692
126.3 IPS |
|
|
Object Detection (I8)
|
62% |
1630
121.7 IPS |
|
|
Face Detection (F32)
|
100% |
3748
44.6 IPS |
|
|
Face Detection (F16)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (I8)
|
89% |
4010
47.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
7040
54.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7002
54.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
12909
100.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15951
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15884
20.9 IPS |
|
|
Style Transfer (I8)
|
98% |
20272
26.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2913
104.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2903
103.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4500
160.7 IPS |
|
|
Text Classification (F32)
|
100% |
1227
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1171
1.68 KIPS |
|
|
Text Classification (I8)
|
98% |
1011
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
1875
34.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1802
33.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3183
58.6 IPS |
