LENOVO 82UD
Geekbench AI Score
1777
Single Precision Score
879
Half Precision Score
1973
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | szabolcsmate |
| Upload Date | February 02 2025 11:20 PM |
| Views | 5 |
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% |
1495
278.0 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.8 IPS |
|
|
Image Classification (Q)
|
96% |
1858
346.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
473
7.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
1163
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3370
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2640
3.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
4339
5.13 IPS |
|
|
Object Detection (SP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (Q)
|
58% |
1232
134.7 IPS |
|
|
Face Detection (SP)
|
100% |
2251
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
3972
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4290
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1365
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
4532
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7627
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
6258
8.04 IPS |
|
|
Style Transfer (Q)
|
87% |
7649
9.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1423
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
469
625.8 IPS |
|
|
Text Classification (Q)
|
97% |
347
465.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.71 IPS |
|
|
Machine Translation (Q)
|
68% |
1141
22.0 IPS |
