LENOVO INVALID
Geekbench ML Score
5874
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 05:38 AM |
| Views | 2 |
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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3028
566.5 IPS |
|
|
Image Classification (F16)
|
100% |
2793
522.6 IPS |
|
|
Image Classification (I8)
|
99% |
4969
929.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
2356
39.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2318
38.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3746
62.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14165
17.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
14319
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
43689
52.9 IPS |
|
|
Object Detection (F32)
|
100% |
2773
207.0 IPS |
|
|
Object Detection (F16)
|
100% |
2963
221.2 IPS |
|
|
Object Detection (I8)
|
62% |
2652
198.0 IPS |
|
|
Face Detection (F32)
|
100% |
5278
62.8 IPS |
|
|
Face Detection (F16)
|
100% |
5185
61.7 IPS |
|
|
Face Detection (I8)
|
89% |
5587
66.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12599
97.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13612
105.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
21654
167.9 IPS |
|
|
Style Transfer (F32)
|
100% |
30521
40.1 IPS |
|
|
Style Transfer (F16)
|
100% |
31623
41.6 IPS |
|
|
Style Transfer (I8)
|
98% |
29105
38.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5770
206.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5664
202.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7314
261.2 IPS |
|
|
Text Classification (F32)
|
100% |
1869
2.69 KIPS |
|
|
Text Classification (F16)
|
100% |
1821
2.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1443
2.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
2928
53.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2925
53.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4404
81.0 IPS |
