LENOVO 20Y7S02R00
Geekbench AI Score
1671
Single Precision Score
865
Half Precision Score
2269
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | October 22 2025 09:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20Y7S02R00 |
| Motherboard | LENOVO 20Y7S02R00 |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
2311
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3091
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2565
2.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
3814
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (Q)
|
58% |
1298
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
1973
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
799
9.49 IPS |
|
|
Face Detection (Q)
|
96% |
3747
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3912
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1337
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
4140
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7173
9.22 IPS |
|
|
Style Transfer (HP)
|
100% |
5892
7.57 IPS |
|
|
Style Transfer (Q)
|
87% |
6721
8.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1636
60.6 IPS |
|
|
Text Classification (SP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
489
653.2 IPS |
|
|
Text Classification (Q)
|
97% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.64 IPS |
|
|
Machine Translation (Q)
|
68% |
1267
24.5 IPS |
