LENOVO INVALID
Geekbench ML Score
5853
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:53 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% |
2929
548.1 IPS |
|
|
Image Classification (F16)
|
100% |
2939
549.9 IPS |
|
|
Image Classification (I8)
|
99% |
4565
854.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2393
40.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2384
39.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3805
63.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
12802
15.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
13656
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
42866
51.9 IPS |
|
|
Object Detection (F32)
|
100% |
2951
220.3 IPS |
|
|
Object Detection (F16)
|
100% |
2884
215.3 IPS |
|
|
Object Detection (I8)
|
62% |
2437
182.0 IPS |
|
|
Face Detection (F32)
|
100% |
5722
68.0 IPS |
|
|
Face Detection (F16)
|
100% |
5593
66.5 IPS |
|
|
Face Detection (I8)
|
89% |
5790
68.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12736
98.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13762
106.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
20904
162.1 IPS |
|
|
Style Transfer (F32)
|
100% |
31619
41.6 IPS |
|
|
Style Transfer (F16)
|
100% |
31336
41.2 IPS |
|
|
Style Transfer (I8)
|
98% |
29880
39.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5816
207.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5322
190.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7345
262.3 IPS |
|
|
Text Classification (F32)
|
100% |
1880
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1933
2.78 KIPS |
|
|
Text Classification (I8)
|
98% |
1426
2.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
2663
49.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2779
51.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4543
83.6 IPS |
