LENOVO INVALID
Geekbench ML Score
5978
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 01:54 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% |
2976
556.8 IPS |
|
|
Image Classification (F16)
|
100% |
2950
552.0 IPS |
|
|
Image Classification (I8)
|
99% |
4968
929.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2374
39.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2417
40.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3774
63.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
13970
16.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
14214
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
44406
53.8 IPS |
|
|
Object Detection (F32)
|
100% |
2795
208.7 IPS |
|
|
Object Detection (F16)
|
100% |
3011
224.8 IPS |
|
|
Object Detection (I8)
|
62% |
2483
185.4 IPS |
|
|
Face Detection (F32)
|
100% |
5658
67.3 IPS |
|
|
Face Detection (F16)
|
100% |
5667
67.4 IPS |
|
|
Face Detection (I8)
|
89% |
5751
68.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12826
99.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13550
105.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
20827
161.5 IPS |
|
|
Style Transfer (F32)
|
100% |
31362
41.3 IPS |
|
|
Style Transfer (F16)
|
100% |
31753
41.8 IPS |
|
|
Style Transfer (I8)
|
98% |
30107
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5932
211.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5735
204.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7588
271.0 IPS |
|
|
Text Classification (F32)
|
100% |
1862
2.68 KIPS |
|
|
Text Classification (F16)
|
100% |
1959
2.82 KIPS |
|
|
Text Classification (I8)
|
98% |
1502
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2941
54.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2990
55.0 IPS |
|
|
Machine Translation (I8)
|
67% |
4575
84.2 IPS |
