LENOVO 83F5
Geekbench ML Score
6125
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 23 2025 02:40 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 83F5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2959
553.7 IPS |
|
|
Image Classification (F16)
|
100% |
3003
562.0 IPS |
|
|
Image Classification (I8)
|
99% |
5334
998.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2434
40.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2463
41.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
3902
65.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
15194
18.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
15673
19.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
50931
61.7 IPS |
|
|
Object Detection (F32)
|
100% |
3000
224.0 IPS |
|
|
Object Detection (F16)
|
100% |
3034
226.5 IPS |
|
|
Object Detection (I8)
|
62% |
2812
209.9 IPS |
|
|
Face Detection (F32)
|
100% |
5873
69.8 IPS |
|
|
Face Detection (F16)
|
100% |
5943
70.7 IPS |
|
|
Face Detection (I8)
|
89% |
6066
72.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13732
106.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13562
105.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
23046
178.7 IPS |
|
|
Style Transfer (F32)
|
100% |
34168
44.9 IPS |
|
|
Style Transfer (F16)
|
100% |
32974
43.4 IPS |
|
|
Style Transfer (I8)
|
98% |
28019
36.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5873
209.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5778
206.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7255
259.1 IPS |
|
|
Text Classification (F32)
|
100% |
1814
2.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1845
2.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1391
2.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
2909
53.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2910
53.6 IPS |
|
|
Machine Translation (I8)
|
67% |
4296
79.1 IPS |
