LENOVO fud
Geekbench ML Score
5546
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 08:43 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO fud |
| Motherboard | LENOVO 3789 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| L3 Cache | 36.0 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% |
2727
510.4 IPS |
|
|
Image Classification (F16)
|
100% |
2742
513.0 IPS |
|
|
Image Classification (I8)
|
99% |
4704
880.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2314
38.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2296
38.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3520
58.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
13707
16.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
13163
15.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
44779
54.2 IPS |
|
|
Object Detection (F32)
|
100% |
2754
205.6 IPS |
|
|
Object Detection (F16)
|
100% |
2780
207.5 IPS |
|
|
Object Detection (I8)
|
62% |
2528
188.7 IPS |
|
|
Face Detection (F32)
|
100% |
6069
72.2 IPS |
|
|
Face Detection (F16)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (I8)
|
89% |
5859
69.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12762
99.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12799
99.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
22253
172.6 IPS |
|
|
Style Transfer (F32)
|
100% |
29408
38.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28978
38.1 IPS |
|
|
Style Transfer (I8)
|
98% |
29948
39.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5601
200.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5825
208.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7247
258.8 IPS |
|
|
Text Classification (F32)
|
100% |
1766
2.54 KIPS |
|
|
Text Classification (F16)
|
100% |
1774
2.55 KIPS |
|
|
Text Classification (I8)
|
98% |
554
795.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2548
46.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2698
49.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3606
66.4 IPS |
