LENOVO 20Y7S02R00
Geekbench AI Score
2256
Single Precision Score
2254
Half Precision Score
2835
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | October 22 2025 09:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U with Radeon 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% |
1430
265.9 IPS |
|
|
Image Classification (HP)
|
100% |
1445
268.8 IPS |
|
|
Image Classification (Q)
|
100% |
1851
344.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2271
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3374
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3230
3.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
4113
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (Q)
|
87% |
1906
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2290
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
5629
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3954
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3961
30.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
4944
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9200
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9223
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12159
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1825
67.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2485
92.0 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1596
2.13 KIPS |
|
|
Text Classification (Q)
|
91% |
649
872.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1868
32.2 IPS |
