LENOVO 20Y7S02R00
Geekbench AI Score
2521
Single Precision Score
3363
Half Precision Score
1923
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | October 22 2025 09:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
993
184.8 IPS |
|
|
Image Classification (HP)
|
100% |
1250
232.5 IPS |
|
|
Image Classification (Q)
|
100% |
888
165.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1451
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1008
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10124
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17876
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
8455
9.90 IPS |
|
|
Object Detection (SP)
|
100% |
1136
90.1 IPS |
|
|
Object Detection (HP)
|
100% |
1358
107.7 IPS |
|
|
Object Detection (Q)
|
88% |
1014
81.3 IPS |
|
|
Face Detection (SP)
|
100% |
2294
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (Q)
|
97% |
1932
23.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5582
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8045
62.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4416
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17834
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29372
37.8 IPS |
|
|
Style Transfer (Q)
|
98% |
14087
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5053
186.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2383
88.2 IPS |
|
|
Text Classification (SP)
|
100% |
728
971.1 IPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
483
646.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (Q)
|
70% |
654
12.3 IPS |
