LENOVO fud
Geekbench ML Score
5318
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2025 05:42 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2735
511.8 IPS |
|
|
Image Classification (F16)
|
100% |
2773
518.8 IPS |
|
|
Image Classification (I8)
|
99% |
4682
876.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1568
26.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2016
33.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3629
60.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
13292
16.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
13466
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
43959
53.2 IPS |
|
|
Object Detection (F32)
|
100% |
2799
208.9 IPS |
|
|
Object Detection (F16)
|
100% |
2680
200.0 IPS |
|
|
Object Detection (I8)
|
62% |
2553
190.6 IPS |
|
|
Face Detection (F32)
|
100% |
5017
59.7 IPS |
|
|
Face Detection (F16)
|
100% |
5164
61.4 IPS |
|
|
Face Detection (I8)
|
89% |
5012
59.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12140
94.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
12079
93.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
20060
155.6 IPS |
|
|
Style Transfer (F32)
|
100% |
29602
38.9 IPS |
|
|
Style Transfer (F16)
|
100% |
30103
39.6 IPS |
|
|
Style Transfer (I8)
|
98% |
25976
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5666
202.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5627
201.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7193
256.9 IPS |
|
|
Text Classification (F32)
|
100% |
1754
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1786
2.57 KIPS |
|
|
Text Classification (I8)
|
98% |
550
790.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2818
51.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2672
49.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3682
67.8 IPS |
