LENOVO 21KU0000CD
Geekbench ML Score
3140
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 05 2024 11:58 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21KU0000CD |
| Motherboard | LENOVO 21KU0000CD |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1608
300.9 IPS |
|
|
Image Classification (F16)
|
100% |
1635
306.0 IPS |
|
|
Image Classification (I8)
|
99% |
2651
496.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1549
25.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1338
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2355
39.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5386
6.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
5768
6.98 IPS |
|
|
Pose Estimation (I8)
|
100% |
21636
26.2 IPS |
|
|
Object Detection (F32)
|
100% |
1576
117.7 IPS |
|
|
Object Detection (F16)
|
100% |
1551
115.8 IPS |
|
|
Object Detection (I8)
|
62% |
1450
108.2 IPS |
|
|
Face Detection (F32)
|
100% |
3790
45.1 IPS |
|
|
Face Detection (F16)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (I8)
|
89% |
3994
47.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6621
51.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6707
52.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
13104
101.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10699
14.1 IPS |
|
|
Style Transfer (F16)
|
100% |
11320
14.9 IPS |
|
|
Style Transfer (I8)
|
98% |
20485
26.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2849
101.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2796
99.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4037
144.2 IPS |
|
|
Text Classification (F32)
|
100% |
1045
1.50 KIPS |
|
|
Text Classification (F16)
|
100% |
992
1.43 KIPS |
|
|
Text Classification (I8)
|
98% |
436
626.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1732
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1806
33.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2670
49.1 IPS |
