AFOX B450D4-MA
Geekbench AI Score
2182
Single Precision Score
659
Half Precision Score
2517
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 29 2024 08:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | AFOX B450D4-MA |
| Motherboard | AFOX B450D4-MA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1484
276.0 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.7 IPS |
|
|
Image Classification (Q)
|
97% |
2827
527.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
1605
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3924
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3293
3.84 IPS |
|
|
Pose Estimation (Q)
|
87% |
8657
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1349
107.0 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
86% |
1352
108.7 IPS |
|
|
Face Detection (SP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
271
3.22 IPS |
|
|
Face Detection (Q)
|
96% |
2789
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4379
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
835
6.43 IPS |
|
|
Depth Estimation (Q)
|
76% |
4558
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9508
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7678
9.87 IPS |
|
|
Style Transfer (Q)
|
87% |
11744
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2236
82.9 IPS |
|
|
Text Classification (SP)
|
100% |
1326
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
641
855.6 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1436
32.0 IPS |
