LENOVO 82JU
Geekbench AI Score
2636
Single Precision Score
1273
Half Precision Score
3126
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 03 2025 03:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 82JU |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Performance Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.2 IPS |
|
|
Image Classification (Q)
|
96% |
3824
714.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
1633
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4289
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3697
4.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
8909
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
2063
163.6 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
58% |
2225
243.1 IPS |
|
|
Face Detection (SP)
|
100% |
2595
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
5508
65.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6008
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1926
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7872
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10317
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9294
11.9 IPS |
|
|
Style Transfer (Q)
|
87% |
10776
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2253
83.5 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
694
925.8 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
1785
34.5 IPS |
