LENOVO 82HU
Geekbench AI Score
1048
Single Precision Score
617
Half Precision Score
1340
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | December 01 2024 11:03 AM |
| Views | 1 |
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 82HU |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
630
117.1 IPS |
|
|
Image Classification (HP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (Q)
|
96% |
884
165.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (Q)
|
97% |
1051
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2194
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
1865
2.18 IPS |
|
|
Pose Estimation (Q)
|
87% |
3230
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (HP)
|
100% |
305
24.2 IPS |
|
|
Object Detection (Q)
|
86% |
657
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (Q)
|
96% |
1511
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2284
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
960
7.40 IPS |
|
|
Depth Estimation (Q)
|
77% |
2066
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5384
6.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4599
5.91 IPS |
|
|
Style Transfer (Q)
|
87% |
5221
6.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1106
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
646
862.4 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.9 IPS |
|
|
Text Classification (Q)
|
97% |
623
834.7 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (Q)
|
60% |
847
18.9 IPS |
