LENOVO 21KV001CUS
Geekbench ML Score
3428
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 28 2024 08:20 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV001CUS |
| Motherboard | LENOVO 21KV001CUS |
| 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% |
1707
319.4 IPS |
|
|
Image Classification (F16)
|
100% |
1747
326.9 IPS |
|
|
Image Classification (I8)
|
99% |
2966
555.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1617
27.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1660
27.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2770
46.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6519
7.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
6078
7.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
21552
26.1 IPS |
|
|
Object Detection (F32)
|
100% |
1747
130.4 IPS |
|
|
Object Detection (F16)
|
100% |
1612
120.4 IPS |
|
|
Object Detection (I8)
|
62% |
1533
114.5 IPS |
|
|
Face Detection (F32)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (F16)
|
100% |
3648
43.4 IPS |
|
|
Face Detection (I8)
|
89% |
3825
45.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7187
55.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
7150
55.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
13672
106.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15474
20.4 IPS |
|
|
Style Transfer (F16)
|
100% |
15520
20.4 IPS |
|
|
Style Transfer (I8)
|
98% |
19905
26.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2956
105.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2955
105.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4701
167.9 IPS |
|
|
Text Classification (F32)
|
100% |
1265
1.82 KIPS |
|
|
Text Classification (F16)
|
100% |
1217
1.75 KIPS |
|
|
Text Classification (I8)
|
98% |
427
613.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1903
35.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1876
34.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2819
51.9 IPS |
