LENOVO 82R4
Geekbench ML Score
1656
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 27 2024 03:58 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82R4 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 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 | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
935
175.0 IPS |
|
|
Image Classification (F16)
|
100% |
1004
188.0 IPS |
|
|
Image Classification (I8)
|
97% |
1334
249.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
439
7.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
437
7.29 IPS |
|
|
Image Segmentation (I8)
|
97% |
1282
21.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2907
3.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
3565
4.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
5343
6.47 IPS |
|
|
Object Detection (F32)
|
100% |
898
67.0 IPS |
|
|
Object Detection (F16)
|
100% |
952
71.0 IPS |
|
|
Object Detection (I8)
|
60% |
848
63.3 IPS |
|
|
Face Detection (F32)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (F16)
|
100% |
1150
13.7 IPS |
|
|
Face Detection (I8)
|
87% |
2083
24.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4023
31.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3961
30.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
5282
41.0 IPS |
|
|
Style Transfer (F32)
|
100% |
8905
11.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8897
11.7 IPS |
|
|
Style Transfer (I8)
|
85% |
7872
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1616
57.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1606
57.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1716
61.3 IPS |
|
|
Text Classification (F32)
|
100% |
1055
1.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1058
1.52 KIPS |
|
|
Text Classification (I8)
|
94% |
321
461.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1021
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1043
19.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1235
22.7 IPS |
