BIOSTAR Group B650MT
Geekbench AI Score
4960
Single Precision Score
1978
Half Precision Score
8672
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 02 2025 06:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B650MT |
| Motherboard | BIOSTAR Group B650MT |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4123
766.8 IPS |
|
|
Image Classification (HP)
|
100% |
734
136.4 IPS |
|
|
Image Classification (Q)
|
99% |
9043
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2259
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4161
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6713
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5744
6.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
27226
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
4004
317.6 IPS |
|
|
Object Detection (HP)
|
100% |
1003
79.6 IPS |
|
|
Object Detection (Q)
|
86% |
9227
741.6 IPS |
|
|
Face Detection (SP)
|
100% |
7948
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
1971
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
11126
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10508
81.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2819
21.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
17015
135.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19760
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13940
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27777
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3314
122.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2724
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4568
169.2 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2190
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4841
97.3 IPS |
