LENOVO INVALID
Geekbench ML Score
5823
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 02:14 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2991
559.8 IPS |
|
|
Image Classification (F16)
|
100% |
3013
563.7 IPS |
|
|
Image Classification (I8)
|
99% |
4510
843.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2414
40.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2388
39.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3687
61.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14171
17.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
14217
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
44748
54.2 IPS |
|
|
Object Detection (F32)
|
100% |
2961
221.0 IPS |
|
|
Object Detection (F16)
|
100% |
2967
221.5 IPS |
|
|
Object Detection (I8)
|
62% |
2478
185.0 IPS |
|
|
Face Detection (F32)
|
100% |
5235
62.2 IPS |
|
|
Face Detection (F16)
|
100% |
5066
60.2 IPS |
|
|
Face Detection (I8)
|
89% |
5514
65.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12255
95.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13421
104.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
20095
155.8 IPS |
|
|
Style Transfer (F32)
|
100% |
31351
41.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30333
39.9 IPS |
|
|
Style Transfer (I8)
|
98% |
27568
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5859
209.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5751
205.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6851
244.7 IPS |
|
|
Text Classification (F32)
|
100% |
1779
2.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1832
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
1464
2.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
2883
53.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2931
53.9 IPS |
|
|
Machine Translation (I8)
|
67% |
4512
83.0 IPS |
