AFOX B450D4-MA
Geekbench AI Score
3290
Single Precision Score
3319
Half Precision Score
5803
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 29 2024 08:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon 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% |
1750
325.5 IPS |
|
|
Image Classification (HP)
|
100% |
1683
312.9 IPS |
|
|
Image Classification (Q)
|
100% |
3328
618.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4660
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4669
5.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
10480
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
2122
168.3 IPS |
|
|
Object Detection (HP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (Q)
|
87% |
4177
335.0 IPS |
|
|
Face Detection (SP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (Q)
|
97% |
11311
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5855
45.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
5866
45.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
11070
87.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13468
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13497
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30027
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2721
100.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2722
100.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6256
231.7 IPS |
|
|
Text Classification (SP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (Q)
|
91% |
1428
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3334
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3280
56.5 IPS |
|
|
Machine Translation (Q)
|
90% |
2868
49.8 IPS |
