LENOVO 11A40011US
Geekbench AI Score
1787
Single Precision Score
2155
Half Precision Score
1330
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | compaqdrew |
| Upload Date | December 09 2024 01:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 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% |
676
125.7 IPS |
|
|
Image Classification (HP)
|
100% |
745
138.5 IPS |
|
|
Image Classification (Q)
|
100% |
572
106.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
513
8.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
3654
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
5643
6.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
3868
4.53 IPS |
|
|
Object Detection (SP)
|
100% |
791
62.7 IPS |
|
|
Object Detection (HP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (Q)
|
86% |
631
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1370
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
1196
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3676
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4543
35.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
3013
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14193
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23508
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11548
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3215
118.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4840
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2211
81.9 IPS |
|
|
Text Classification (SP)
|
100% |
824
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
485
650.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1158
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
70% |
543
10.2 IPS |
