LENOVO 83HM
Geekbench ML Score
3401
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 09 2024 03:47 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% |
1718
321.5 IPS |
|
|
Image Classification (F16)
|
100% |
1701
318.4 IPS |
|
|
Image Classification (I8)
|
99% |
3135
586.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1558
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1468
24.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2602
43.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4958
6.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
5088
6.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
18129
22.0 IPS |
|
|
Object Detection (F32)
|
100% |
1705
127.3 IPS |
|
|
Object Detection (F16)
|
100% |
1780
132.9 IPS |
|
|
Object Detection (I8)
|
62% |
1750
130.6 IPS |
|
|
Face Detection (F32)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (F16)
|
100% |
3829
45.5 IPS |
|
|
Face Detection (I8)
|
89% |
4350
51.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6118
47.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6233
48.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
12625
97.9 IPS |
|
|
Style Transfer (F32)
|
100% |
12439
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12457
16.4 IPS |
|
|
Style Transfer (I8)
|
98% |
20836
27.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2680
95.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2661
95.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4718
168.5 IPS |
|
|
Text Classification (F32)
|
100% |
1304
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1316
1.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1151
1.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
1965
36.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1971
36.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2773
51.0 IPS |
