LENOVO 11A40011US
Geekbench AI Score
1091
Single Precision Score
1017
Half Precision Score
1053
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | compaqdrew |
| Upload Date | December 09 2024 01:24 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 PRO 3200GE w/ Radeon Vega Graphics |
| 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% |
768
142.9 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (Q)
|
100% |
701
130.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
605
9.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1257
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1263
1.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
1452
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
715
56.7 IPS |
|
|
Object Detection (Q)
|
87% |
734
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1740
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
2257
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1795
13.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1803
13.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
1541
12.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3829
4.92 IPS |
|
|
Style Transfer (HP)
|
100% |
3665
4.71 IPS |
|
|
Style Transfer (Q)
|
98% |
4412
5.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
692
25.6 IPS |
|
|
Text Classification (SP)
|
100% |
526
701.6 IPS |
|
|
Text Classification (HP)
|
100% |
475
634.0 IPS |
|
|
Text Classification (Q)
|
91% |
337
453.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1042
17.9 IPS |
