AFOX B450D4-MA
Geekbench AI Score
2541
Single Precision Score
3600
Half Precision Score
1791
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 29 2024 08:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
906
168.5 IPS |
|
|
Image Classification (HP)
|
100% |
1299
241.5 IPS |
|
|
Image Classification (Q)
|
99% |
758
141.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
957
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10878
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19491
22.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
8575
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1011
80.2 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
89% |
862
69.0 IPS |
|
|
Face Detection (SP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
1611
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5481
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8172
63.0 IPS |
|
|
Depth Estimation (Q)
|
72% |
3937
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18538
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30714
39.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13910
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3575
132.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2348
86.9 IPS |
|
|
Text Classification (SP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
626
838.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (Q)
|
60% |
490
11.0 IPS |
