BIOSTAR Group B850MT2-E DJ
Geekbench AI Score
3797
Single Precision Score
1661
Half Precision Score
7307
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 21 2025 06:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B850MT2-E DJ |
| Motherboard | BIOSTAR Group B850MT2-E DJ |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3137
583.5 IPS |
|
|
Image Classification (HP)
|
100% |
697
129.6 IPS |
|
|
Image Classification (Q)
|
99% |
7365
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3214
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5443
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4588
5.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
21130
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2800
222.1 IPS |
|
|
Object Detection (HP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (Q)
|
86% |
7736
621.8 IPS |
|
|
Face Detection (SP)
|
100% |
6608
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
1788
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
9321
111.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7315
56.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2174
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
13508
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13821
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11189
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
24978
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2554
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2164
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3741
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
1714
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
900
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1979
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2776
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4817
96.8 IPS |
