LENOVO 82YS
Geekbench AI Score
2290
Single Precision Score
1139
Half Precision Score
3701
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Gilocas |
| Upload Date | December 07 2025 07:00 PM |
| Views | 2 |
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 82YS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Equilibrado |
| 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% |
1862
346.3 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.3 IPS |
|
|
Image Classification (Q)
|
96% |
3340
623.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
3764
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3314
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2749
3.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
6892
8.15 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (Q)
|
58% |
2220
242.6 IPS |
|
|
Face Detection (SP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
96% |
5411
64.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4627
35.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1633
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6900
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8204
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6820
8.77 IPS |
|
|
Style Transfer (Q)
|
87% |
9482
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2926
108.4 IPS |
|
|
Text Classification (SP)
|
100% |
1487
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1251
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1629
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
1939
37.5 IPS |
