A520M-ITX/ac
Geekbench AI Score
1237
Single Precision Score
669
Half Precision Score
1483
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | engi75 |
| Upload Date | December 26 2024 03:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | A520M-ITX/ac |
| Motherboard | ASRock A520M-ITX/ac |
| Power Plan | sporn reim |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3100 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
848
157.7 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.7 IPS |
|
|
Image Classification (Q)
|
96% |
1122
209.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
906
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1867
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1595
1.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
2190
2.59 IPS |
|
|
Object Detection (SP)
|
100% |
852
67.6 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
58% |
812
88.7 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
798
9.49 IPS |
|
|
Face Detection (Q)
|
96% |
2686
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2629
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1074
8.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
2836
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4639
5.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3698
4.75 IPS |
|
|
Style Transfer (Q)
|
87% |
5041
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
819
30.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
959
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
650
867.2 IPS |
|
|
Text Classification (HP)
|
100% |
372
497.1 IPS |
|
|
Text Classification (Q)
|
97% |
633
848.4 IPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (Q)
|
68% |
1228
23.7 IPS |
