LENOVO 82UD
Geekbench AI Score
2565
Single Precision Score
3363
Half Precision Score
2017
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | February 02 2025 11:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
1061
197.3 IPS |
|
|
Image Classification (HP)
|
100% |
1256
233.5 IPS |
|
|
Image Classification (Q)
|
100% |
953
177.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1097
17.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9109
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17795
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
7737
9.06 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.7 IPS |
|
|
Object Detection (HP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (Q)
|
88% |
1070
85.8 IPS |
|
|
Face Detection (SP)
|
100% |
2556
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (Q)
|
97% |
2089
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8216
63.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
4808
38.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17817
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28906
37.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14858
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3571
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2564
94.9 IPS |
|
|
Text Classification (SP)
|
100% |
735
980.6 IPS |
|
|
Text Classification (HP)
|
100% |
740
987.1 IPS |
|
|
Text Classification (Q)
|
97% |
506
677.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
70% |
667
12.5 IPS |
