LENOVO 82YS
Geekbench AI Score
2952
Single Precision Score
2883
Half Precision Score
5002
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Gilocas |
| Upload Date | December 07 2025 07:07 PM |
| Views | 2 |
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 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% |
1882
350.0 IPS |
|
|
Image Classification (HP)
|
100% |
1905
354.2 IPS |
|
|
Image Classification (Q)
|
100% |
3349
622.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2075
33.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3642
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3474
4.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
7566
8.87 IPS |
|
|
Object Detection (SP)
|
100% |
1718
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
1742
138.2 IPS |
|
|
Object Detection (Q)
|
87% |
3418
274.2 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (Q)
|
97% |
9467
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4866
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4880
37.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
8925
70.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10493
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10565
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23507
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2129
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4944
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2039
2.72 KIPS |
|
|
Text Classification (Q)
|
91% |
1115
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2928
50.4 IPS |
