LENOVO 82XG
Geekbench AI Score
690
Single Precision Score
663
Half Precision Score
1112
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | November 14 2025 07:41 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7530U with Radeon Graphics |
| 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% |
339
63.1 IPS |
|
|
Image Classification (HP)
|
100% |
306
56.8 IPS |
|
|
Image Classification (Q)
|
100% |
811
150.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (Q)
|
99% |
806
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
788
0.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
2314
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (Q)
|
87% |
870
69.8 IPS |
|
|
Face Detection (SP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1079
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
1706
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1385
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
983
7.58 IPS |
|
|
Depth Estimation (Q)
|
81% |
1644
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2570
3.30 IPS |
|
|
Style Transfer (HP)
|
100% |
2279
2.93 IPS |
|
|
Style Transfer (Q)
|
98% |
4164
5.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
750
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
472
629.7 IPS |
|
|
Text Classification (HP)
|
100% |
482
642.7 IPS |
|
|
Text Classification (Q)
|
91% |
344
462.5 IPS |
|
|
Machine Translation (SP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (Q)
|
100% |
732
12.6 IPS |
