LENOVO INVALID
Geekbench ML Score
5943
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 07:14 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% |
3009
563.1 IPS |
|
|
Image Classification (F16)
|
100% |
2927
547.8 IPS |
|
|
Image Classification (I8)
|
99% |
5012
937.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2438
40.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2375
39.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3867
64.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14124
17.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
13929
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
43155
52.3 IPS |
|
|
Object Detection (F32)
|
100% |
2968
221.6 IPS |
|
|
Object Detection (F16)
|
100% |
2990
223.2 IPS |
|
|
Object Detection (I8)
|
62% |
2702
201.7 IPS |
|
|
Face Detection (F32)
|
100% |
5296
63.0 IPS |
|
|
Face Detection (F16)
|
100% |
5249
62.4 IPS |
|
|
Face Detection (I8)
|
89% |
5651
67.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
13444
104.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
13390
103.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
20932
162.3 IPS |
|
|
Style Transfer (F32)
|
100% |
31493
41.4 IPS |
|
|
Style Transfer (F16)
|
100% |
30073
39.6 IPS |
|
|
Style Transfer (I8)
|
98% |
27299
35.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5937
212.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5704
203.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7640
272.9 IPS |
|
|
Text Classification (F32)
|
100% |
1909
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1944
2.79 KIPS |
|
|
Text Classification (I8)
|
98% |
1494
2.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
2905
53.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2934
54.0 IPS |
|
|
Machine Translation (I8)
|
67% |
4427
81.5 IPS |
