LENOVO 82UD
Geekbench AI Score
2093
Single Precision Score
2691
Half Precision Score
1675
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | January 31 2025 05:22 PM |
| Views | 15 |
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% |
890
165.6 IPS |
|
|
Image Classification (HP)
|
100% |
1029
191.4 IPS |
|
|
Image Classification (Q)
|
100% |
806
149.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1015
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
869
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6457
7.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
11682
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5697
6.67 IPS |
|
|
Object Detection (SP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (HP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (Q)
|
88% |
909
72.8 IPS |
|
|
Face Detection (SP)
|
100% |
2354
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
2012
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4483
34.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6578
50.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3622
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12645
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20058
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
10653
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2753
101.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3829
141.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
646
861.6 IPS |
|
|
Text Classification (HP)
|
100% |
719
959.4 IPS |
|
|
Text Classification (Q)
|
97% |
481
644.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (Q)
|
70% |
614
11.5 IPS |
