LENOVO 82JY
Geekbench AI Score
1577
Single Precision Score
794
Half Precision Score
2095
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 12:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 82JY |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Legion Quiet Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
918
170.7 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (Q)
|
96% |
1839
343.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
381
6.18 IPS |
|
|
Image Segmentation (Q)
|
97% |
1486
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2171
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2025
2.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
5472
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
58% |
1280
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
834
9.91 IPS |
|
|
Face Detection (Q)
|
96% |
3541
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3019
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1436
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4725
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6361
8.18 IPS |
|
|
Style Transfer (HP)
|
100% |
5036
6.47 IPS |
|
|
Style Transfer (Q)
|
87% |
9193
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2229
82.6 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.9 IPS |
|
|
Text Classification (Q)
|
97% |
193
258.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.55 IPS |
|
|
Machine Translation (Q)
|
68% |
1287
24.9 IPS |
