LENOVO INVALID
Geekbench ML Score
5860
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:55 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% |
2860
535.3 IPS |
|
|
Image Classification (F16)
|
100% |
2890
540.8 IPS |
|
|
Image Classification (I8)
|
99% |
5041
943.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2358
39.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2369
39.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3824
63.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14183
17.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
14130
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
44204
53.5 IPS |
|
|
Object Detection (F32)
|
100% |
2713
202.5 IPS |
|
|
Object Detection (F16)
|
100% |
2799
209.0 IPS |
|
|
Object Detection (I8)
|
62% |
2667
199.1 IPS |
|
|
Face Detection (F32)
|
100% |
5741
68.3 IPS |
|
|
Face Detection (F16)
|
100% |
5439
64.7 IPS |
|
|
Face Detection (I8)
|
89% |
5317
63.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12303
95.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
13547
105.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
20603
159.8 IPS |
|
|
Style Transfer (F32)
|
100% |
30295
39.8 IPS |
|
|
Style Transfer (F16)
|
100% |
30991
40.8 IPS |
|
|
Style Transfer (I8)
|
98% |
30550
40.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5761
205.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5890
210.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6346
226.6 IPS |
|
|
Text Classification (F32)
|
100% |
1886
2.71 KIPS |
|
|
Text Classification (F16)
|
100% |
1899
2.73 KIPS |
|
|
Text Classification (I8)
|
98% |
1463
2.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
2865
52.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2944
54.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4402
81.0 IPS |
