LENOVO 21KWS56V00
Geekbench ML Score
3502
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 18 2024 09:49 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% |
1618
302.8 IPS |
|
|
Image Classification (F16)
|
100% |
1655
309.7 IPS |
|
|
Image Classification (I8)
|
99% |
2858
534.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1601
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1468
24.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3162
52.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6031
7.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
6127
7.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
23559
28.5 IPS |
|
|
Object Detection (F32)
|
100% |
1680
125.4 IPS |
|
|
Object Detection (F16)
|
100% |
1704
127.2 IPS |
|
|
Object Detection (I8)
|
62% |
1637
122.2 IPS |
|
|
Face Detection (F32)
|
100% |
3827
45.5 IPS |
|
|
Face Detection (F16)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (I8)
|
89% |
3971
47.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7059
54.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6966
54.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
12983
100.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15975
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
16052
21.1 IPS |
|
|
Style Transfer (I8)
|
98% |
20353
26.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2766
98.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2910
103.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4384
156.5 IPS |
|
|
Text Classification (F32)
|
100% |
1098
1.58 KIPS |
|
|
Text Classification (F16)
|
100% |
1128
1.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1035
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
1862
34.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1824
33.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3094
56.9 IPS |
