LENOVO 82UD
Geekbench AI Score
1413
Single Precision Score
706
Half Precision Score
1578
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 05:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82UD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1051
195.4 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (Q)
|
96% |
1425
266.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
5.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
888
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2534
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1997
2.33 IPS |
|
|
Pose Estimation (Q)
|
86% |
3261
3.86 IPS |
|
|
Object Detection (SP)
|
100% |
1123
89.0 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (Q)
|
58% |
951
104.0 IPS |
|
|
Face Detection (SP)
|
100% |
2017
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (Q)
|
96% |
3192
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3149
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1090
8.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
3589
28.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5743
7.38 IPS |
|
|
Style Transfer (HP)
|
100% |
4722
6.07 IPS |
|
|
Style Transfer (Q)
|
87% |
6405
8.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1044
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1162
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
375
500.6 IPS |
|
|
Text Classification (Q)
|
97% |
285
381.9 IPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (Q)
|
68% |
1009
19.5 IPS |
