LENOVO INVALID
Geekbench ML Score
5899
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:44 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO INVALID |
| Motherboard | LENOVO 3784 |
| Power Plan | Lenovo Default |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2990
559.4 IPS |
|
|
Image Classification (F16)
|
100% |
2958
553.5 IPS |
|
|
Image Classification (I8)
|
99% |
4839
905.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2421
40.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2384
39.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3920
65.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
14142
17.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
14096
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
45099
54.6 IPS |
|
|
Object Detection (F32)
|
100% |
2913
217.5 IPS |
|
|
Object Detection (F16)
|
100% |
2943
219.7 IPS |
|
|
Object Detection (I8)
|
62% |
2336
174.4 IPS |
|
|
Face Detection (F32)
|
100% |
5185
61.6 IPS |
|
|
Face Detection (F16)
|
100% |
5182
61.6 IPS |
|
|
Face Detection (I8)
|
89% |
5705
67.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
13351
103.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
12589
97.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
21225
164.6 IPS |
|
|
Style Transfer (F32)
|
100% |
31314
41.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30184
39.7 IPS |
|
|
Style Transfer (I8)
|
98% |
27674
36.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5858
209.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5877
209.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7585
270.9 IPS |
|
|
Text Classification (F32)
|
100% |
1915
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1924
2.77 KIPS |
|
|
Text Classification (I8)
|
98% |
1458
2.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
2898
53.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2948
54.3 IPS |
|
|
Machine Translation (I8)
|
67% |
4446
81.8 IPS |
