LENOVO 20Y70095US
Geekbench AI Score
983
Single Precision Score
351
Half Precision Score
1047
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 08:41 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20Y70095US |
| Motherboard | LENOVO 20Y70095US |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
535
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.8 IPS |
|
|
Image Classification (Q)
|
97% |
679
126.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.94 IPS |
|
|
Image Segmentation (Q)
|
97% |
881
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2125
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1704
1.99 IPS |
|
|
Pose Estimation (Q)
|
87% |
3125
3.69 IPS |
|
|
Object Detection (SP)
|
100% |
570
45.2 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.52 IPS |
|
|
Object Detection (Q)
|
86% |
490
39.4 IPS |
|
|
Face Detection (SP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
157
1.87 IPS |
|
|
Face Detection (Q)
|
96% |
1369
16.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2298
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
462
3.56 IPS |
|
|
Depth Estimation (Q)
|
76% |
2142
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5409
6.95 IPS |
|
|
Style Transfer (HP)
|
100% |
4389
5.64 IPS |
|
|
Style Transfer (Q)
|
87% |
5388
7.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
815
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
767
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
560
746.9 IPS |
|
|
Text Classification (HP)
|
100% |
227
303.1 IPS |
|
|
Text Classification (Q)
|
97% |
190
253.9 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
60% |
756
16.9 IPS |
