B450M Pro4-F
Geekbench AI Score
1291
Single Precision Score
729
Half Precision Score
1092
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Blondin |
| Upload Date | January 10 2026 09:35 AM |
| Views | 6 |
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 | 3.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
915
170.1 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.7 IPS |
|
|
Image Classification (Q)
|
96% |
834
155.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
850
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1666
1.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
1469
1.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
1584
1.87 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
58% |
571
62.4 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
2099
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1919
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1055
8.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
2049
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4439
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3769
4.85 IPS |
|
|
Style Transfer (Q)
|
87% |
4068
5.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
845
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
772
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
812
30.1 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
409
545.4 IPS |
|
|
Text Classification (Q)
|
97% |
270
361.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
68% |
984
19.0 IPS |
