B450M Pro4-F
Geekbench AI Score
1230
Single Precision Score
670
Half Precision Score
1032
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Blondin |
| Upload Date | January 13 2026 05:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 1300X |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | B450M Pro4-F |
| Motherboard | ASRock B450M Pro4-F |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 1300X |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
96% |
787
146.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
801
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1563
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1381
1.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
1494
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
834
66.1 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
58% |
538
58.7 IPS |
|
|
Face Detection (SP)
|
100% |
2413
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (Q)
|
96% |
2051
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2185
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
998
7.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
1934
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4170
5.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3522
4.53 IPS |
|
|
Style Transfer (Q)
|
87% |
3833
4.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
797
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
766
28.4 IPS |
|
|
Text Classification (SP)
|
100% |
711
948.4 IPS |
|
|
Text Classification (HP)
|
100% |
377
502.7 IPS |
|
|
Text Classification (Q)
|
97% |
254
340.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
68% |
923
17.8 IPS |
