LENOVO 82B5
Geekbench ML Score
1695
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 06:36 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82B5 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Energy Star |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1098
205.5 IPS |
|
|
Image Classification (F16)
|
100% |
965
180.6 IPS |
|
|
Image Classification (I8)
|
97% |
1342
251.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
397
6.63 IPS |
|
|
Image Segmentation (F16)
|
100% |
408
6.81 IPS |
|
|
Image Segmentation (I8)
|
97% |
1012
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3397
4.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
4081
4.94 IPS |
|
|
Pose Estimation (I8)
|
100% |
4454
5.39 IPS |
|
|
Object Detection (F32)
|
100% |
876
65.4 IPS |
|
|
Object Detection (F16)
|
100% |
1035
77.3 IPS |
|
|
Object Detection (I8)
|
60% |
834
62.3 IPS |
|
|
Face Detection (F32)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (F16)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (I8)
|
87% |
2311
27.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4430
34.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4280
33.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
4639
36.0 IPS |
|
|
Style Transfer (F32)
|
100% |
7880
10.4 IPS |
|
|
Style Transfer (F16)
|
100% |
8131
10.7 IPS |
|
|
Style Transfer (I8)
|
85% |
7965
10.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1692
60.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1871
66.8 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1696
60.6 IPS |
|
|
Text Classification (F32)
|
100% |
869
1.25 KIPS |
|
|
Text Classification (F16)
|
100% |
1003
1.44 KIPS |
|
|
Text Classification (I8)
|
94% |
310
445.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1179
21.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1157
21.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1334
24.6 IPS |
