LENOVO 21KV001KUS
Geekbench ML Score
3276
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 04:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV001KUS |
| Motherboard | LENOVO 21KV001KUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 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% |
1690
316.2 IPS |
|
|
Image Classification (F16)
|
100% |
1662
311.0 IPS |
|
|
Image Classification (I8)
|
99% |
2817
527.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1453
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1410
23.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2670
44.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6122
7.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
6149
7.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
21055
25.5 IPS |
|
|
Object Detection (F32)
|
100% |
1725
128.8 IPS |
|
|
Object Detection (F16)
|
100% |
1706
127.4 IPS |
|
|
Object Detection (I8)
|
62% |
1549
115.7 IPS |
|
|
Face Detection (F32)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (F16)
|
100% |
3761
44.7 IPS |
|
|
Face Detection (I8)
|
89% |
3930
46.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6665
51.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6638
51.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
13323
103.3 IPS |
|
|
Style Transfer (F32)
|
100% |
14103
18.6 IPS |
|
|
Style Transfer (F16)
|
100% |
14249
18.7 IPS |
|
|
Style Transfer (I8)
|
98% |
20206
26.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2611
93.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2651
94.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4518
161.3 IPS |
|
|
Text Classification (F32)
|
100% |
1071
1.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1119
1.61 KIPS |
|
|
Text Classification (I8)
|
98% |
458
657.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1748
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1758
32.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2646
48.7 IPS |
