LENOVO INVALID
Geekbench ML Score
5772
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 05:32 AM |
| Views | 6 |
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% |
2958
553.4 IPS |
|
|
Image Classification (F16)
|
100% |
2936
549.3 IPS |
|
|
Image Classification (I8)
|
99% |
4839
905.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1845
30.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1962
32.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3704
61.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
13451
16.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
14213
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
46616
56.4 IPS |
|
|
Object Detection (F32)
|
100% |
2808
209.7 IPS |
|
|
Object Detection (F16)
|
100% |
2738
204.4 IPS |
|
|
Object Detection (I8)
|
62% |
2679
200.0 IPS |
|
|
Face Detection (F32)
|
100% |
5445
64.7 IPS |
|
|
Face Detection (F16)
|
100% |
5555
66.1 IPS |
|
|
Face Detection (I8)
|
89% |
5806
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12438
96.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
12551
97.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
21844
169.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28692
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
31577
41.5 IPS |
|
|
Style Transfer (I8)
|
98% |
29324
38.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5894
210.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5695
203.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6725
240.2 IPS |
|
|
Text Classification (F32)
|
100% |
1920
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1864
2.68 KIPS |
|
|
Text Classification (I8)
|
98% |
1435
2.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
2851
52.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2839
52.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4493
82.7 IPS |
