LENOVO 82JQ
Geekbench ML Score
1863
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82JQ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 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% |
1135
212.4 IPS |
|
|
Image Classification (F16)
|
100% |
1095
204.8 IPS |
|
|
Image Classification (I8)
|
97% |
2177
407.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
806
13.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1524
25.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2967
3.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
2220
2.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
6970
8.44 IPS |
|
|
Object Detection (F32)
|
100% |
1078
80.5 IPS |
|
|
Object Detection (F16)
|
100% |
1063
79.4 IPS |
|
|
Object Detection (I8)
|
60% |
1035
77.3 IPS |
|
|
Face Detection (F32)
|
100% |
1410
16.8 IPS |
|
|
Face Detection (F16)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (I8)
|
87% |
2621
31.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3858
29.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
3879
30.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
7665
59.4 IPS |
|
|
Style Transfer (F32)
|
100% |
7783
10.2 IPS |
|
|
Style Transfer (F16)
|
100% |
7905
10.4 IPS |
|
|
Style Transfer (I8)
|
85% |
10273
13.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1754
62.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1339
47.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2144
76.6 IPS |
|
|
Text Classification (F32)
|
100% |
976
1.40 KIPS |
|
|
Text Classification (F16)
|
100% |
965
1.39 KIPS |
|
|
Text Classification (I8)
|
94% |
266
382.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1100
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1140
21.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1400
25.8 IPS |
