LENOVO INVALID
Geekbench ML Score
5854
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 06:25 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3026
566.2 IPS |
|
|
Image Classification (F16)
|
100% |
2947
551.5 IPS |
|
|
Image Classification (I8)
|
99% |
5015
938.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2400
40.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2391
39.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
3925
65.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
14031
17.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
14049
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
43469
52.6 IPS |
|
|
Object Detection (F32)
|
100% |
2869
214.2 IPS |
|
|
Object Detection (F16)
|
100% |
2911
217.3 IPS |
|
|
Object Detection (I8)
|
62% |
2554
190.7 IPS |
|
|
Face Detection (F32)
|
100% |
5003
59.5 IPS |
|
|
Face Detection (F16)
|
100% |
4961
59.0 IPS |
|
|
Face Detection (I8)
|
89% |
5488
65.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
13070
101.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
13060
101.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
20606
159.8 IPS |
|
|
Style Transfer (F32)
|
100% |
31320
41.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30052
39.5 IPS |
|
|
Style Transfer (I8)
|
98% |
25613
33.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5888
210.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5682
202.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7222
257.9 IPS |
|
|
Text Classification (F32)
|
100% |
1910
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1921
2.76 KIPS |
|
|
Text Classification (I8)
|
98% |
1485
2.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
2941
54.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2923
53.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4389
80.8 IPS |
