BIOSTAR Group B650MT
Geekbench AI Score
5363
Single Precision Score
5321
Half Precision Score
14424
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 12 2025 06:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F 6-Core Processor |
| 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% |
3469
645.1 IPS |
|
|
Image Classification (HP)
|
100% |
3145
584.9 IPS |
|
|
Image Classification (Q)
|
100% |
8981
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3611
58.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3637
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9234
149.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6369
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
6308
7.36 IPS |
|
|
Pose Estimation (Q)
|
98% |
24575
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
3250
257.8 IPS |
|
|
Object Detection (HP)
|
100% |
3265
259.0 IPS |
|
|
Object Detection (Q)
|
88% |
9496
761.2 IPS |
|
|
Face Detection (SP)
|
100% |
8155
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
8075
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
23944
284.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8234
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8313
64.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
24899
193.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17498
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17449
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
64654
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3971
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4013
148.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13112
485.6 IPS |
|
|
Text Classification (SP)
|
100% |
3186
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5581
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5114
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5165
89.0 IPS |
|
|
Machine Translation (Q)
|
100% |
7144
123.1 IPS |
