BIOSTAR Group B650MT
Geekbench AI Score
3570
Single Precision Score
1644
Half Precision Score
7262
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 12 2025 05:56 AM |
| Views | 4 |
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 B650MT |
| Motherboard | BIOSTAR Group B650MT |
| 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% |
2824
525.1 IPS |
|
|
Image Classification (HP)
|
100% |
644
119.8 IPS |
|
|
Image Classification (Q)
|
99% |
7441
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3262
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4793
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4317
5.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
19821
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
774
61.4 IPS |
|
|
Object Detection (Q)
|
86% |
7690
618.1 IPS |
|
|
Face Detection (SP)
|
100% |
6045
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
1794
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
9845
117.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7082
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2408
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15302
122.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12794
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10873
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24785
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2519
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2158
79.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3937
145.8 IPS |
|
|
Text Classification (SP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
897
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1910
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3928
78.9 IPS |
