LENOVO 20Y7S02R00
Geekbench AI Score
2443
Single Precision Score
3275
Half Precision Score
1879
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | October 20 2025 11:55 PM |
| Views | 12 |
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% |
954
177.3 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (Q)
|
100% |
864
160.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1183
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1008
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10243
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18278
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
8570
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1122
89.0 IPS |
|
|
Object Detection (HP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (Q)
|
88% |
975
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
2193
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (Q)
|
97% |
1964
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5280
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7838
60.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
4161
33.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16825
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28493
36.6 IPS |
|
|
Style Transfer (Q)
|
98% |
13390
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3305
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5212
192.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2328
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.6 IPS |
|
|
Text Classification (HP)
|
100% |
658
878.2 IPS |
|
|
Text Classification (Q)
|
97% |
464
621.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (Q)
|
70% |
641
12.0 IPS |
