LENOVO 83HM
Geekbench ML Score
3441
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 08 2025 05:28 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HM |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 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% |
1777
332.4 IPS |
|
|
Image Classification (F16)
|
100% |
1759
329.2 IPS |
|
|
Image Classification (I8)
|
99% |
3267
611.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1590
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1587
26.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2614
43.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5015
6.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
5138
6.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
18017
21.8 IPS |
|
|
Object Detection (F32)
|
100% |
1746
130.3 IPS |
|
|
Object Detection (F16)
|
100% |
1689
126.1 IPS |
|
|
Object Detection (I8)
|
62% |
1675
125.0 IPS |
|
|
Face Detection (F32)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (F16)
|
100% |
4038
48.0 IPS |
|
|
Face Detection (I8)
|
89% |
4389
52.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6232
48.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6449
50.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
12856
99.7 IPS |
|
|
Style Transfer (F32)
|
100% |
11974
15.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12391
16.3 IPS |
|
|
Style Transfer (I8)
|
98% |
21270
28.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2727
97.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2674
95.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4729
168.9 IPS |
|
|
Text Classification (F32)
|
100% |
1287
1.85 KIPS |
|
|
Text Classification (F16)
|
100% |
1304
1.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1123
1.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1953
35.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1989
36.6 IPS |
|
|
Machine Translation (I8)
|
67% |
2773
51.0 IPS |
