LENOVO 20NMS2T900
Geekbench AI Score
589
Single Precision Score
349
Half Precision Score
707
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | michaelp42 |
| Upload Date | November 25 2025 08:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 3500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20NMS2T900 |
| Motherboard | LENOVO 20NMS2T900 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 3500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
96% |
616
115.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
790
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
516
0.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
760
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
303
24.1 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
58% |
302
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
386
4.59 IPS |
|
|
Face Detection (Q)
|
96% |
1050
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
857
6.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
460
3.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
919
7.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1508
1.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1362
1.75 IPS |
|
|
Style Transfer (Q)
|
87% |
2015
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
328
12.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
537
19.9 IPS |
|
|
Text Classification (SP)
|
100% |
585
780.8 IPS |
|
|
Text Classification (HP)
|
100% |
348
464.8 IPS |
|
|
Text Classification (Q)
|
97% |
422
565.9 IPS |
|
|
Machine Translation (SP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
68% |
638
12.3 IPS |
