LENOVO 11A40011US
Geekbench AI Score
1038
Single Precision Score
584
Half Precision Score
906
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | compaqdrew |
| Upload Date | December 09 2024 01:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 PRO 3200GE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 11A40011US |
| Motherboard | LENOVO 3151 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 PRO 3200GE |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
791
147.1 IPS |
|
|
Image Classification (HP)
|
100% |
259
48.2 IPS |
|
|
Image Classification (Q)
|
96% |
709
132.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
582
9.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
1393
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1211
1.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
1387
1.64 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
58% |
481
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
708
8.41 IPS |
|
|
Face Detection (Q)
|
96% |
1824
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1928
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
876
6.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
1745
13.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3624
4.66 IPS |
|
|
Style Transfer (HP)
|
100% |
3145
4.04 IPS |
|
|
Style Transfer (Q)
|
87% |
3339
4.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
647
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
644
859.4 IPS |
|
|
Text Classification (HP)
|
100% |
382
509.3 IPS |
|
|
Text Classification (Q)
|
97% |
244
327.5 IPS |
|
|
Machine Translation (SP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (Q)
|
68% |
810
15.7 IPS |
