LENOVO 83HM
Geekbench ML Score
3409
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2024 11:32 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 256V |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1780
333.1 IPS |
|
|
Image Classification (F16)
|
100% |
1742
325.9 IPS |
|
|
Image Classification (I8)
|
99% |
3181
595.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1593
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1579
26.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2578
43.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5114
6.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
5056
6.12 IPS |
|
|
Pose Estimation (I8)
|
100% |
17856
21.6 IPS |
|
|
Object Detection (F32)
|
100% |
1769
132.1 IPS |
|
|
Object Detection (F16)
|
100% |
1793
133.9 IPS |
|
|
Object Detection (I8)
|
62% |
1715
128.0 IPS |
|
|
Face Detection (F32)
|
100% |
3786
45.0 IPS |
|
|
Face Detection (F16)
|
100% |
3862
45.9 IPS |
|
|
Face Detection (I8)
|
89% |
4297
51.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5960
46.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
6044
46.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
12906
100.1 IPS |
|
|
Style Transfer (F32)
|
100% |
12104
15.9 IPS |
|
|
Style Transfer (F16)
|
100% |
11626
15.3 IPS |
|
|
Style Transfer (I8)
|
98% |
20123
26.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2712
96.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2663
95.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4713
168.3 IPS |
|
|
Text Classification (F32)
|
100% |
1320
1.90 KIPS |
|
|
Text Classification (F16)
|
100% |
1321
1.90 KIPS |
|
|
Text Classification (I8)
|
98% |
1182
1.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
1943
35.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1949
35.9 IPS |
|
|
Machine Translation (I8)
|
67% |
2709
49.8 IPS |
