LENOVO 82XG
Geekbench AI Score
923
Single Precision Score
444
Half Precision Score
1440
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | November 14 2025 07:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7530U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82XG |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7530U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
651
121.0 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
96% |
1308
244.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
811
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1259
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1110
1.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
2946
3.48 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
58% |
955
104.4 IPS |
|
|
Face Detection (SP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
493
5.85 IPS |
|
|
Face Detection (Q)
|
96% |
2421
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1729
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
672
5.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
2943
23.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3322
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
2792
3.59 IPS |
|
|
Style Transfer (Q)
|
87% |
5518
7.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
803
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.2 IPS |
|
|
Text Classification (HP)
|
100% |
230
306.8 IPS |
|
|
Text Classification (Q)
|
97% |
438
587.2 IPS |
|
|
Machine Translation (SP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (Q)
|
68% |
935
18.1 IPS |
