BIOSTAR Group B650MP-E PRO
Geekbench AI Score
6685
Single Precision Score
6723
Half Precision Score
18533
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 02:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | BIOSTAR Group B650MP-E PRO |
| Motherboard | BIOSTAR Group B650MP-E PRO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4392
816.7 IPS |
|
|
Image Classification (HP)
|
100% |
4401
818.5 IPS |
|
|
Image Classification (Q)
|
100% |
12115
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4040
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4082
66.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
12892
209.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8326
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
8354
9.75 IPS |
|
|
Pose Estimation (Q)
|
98% |
33048
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
4047
321.0 IPS |
|
|
Object Detection (HP)
|
100% |
3997
317.0 IPS |
|
|
Object Detection (Q)
|
88% |
12706
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
9240
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
9331
110.9 IPS |
|
|
Face Detection (Q)
|
100% |
29745
353.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10909
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10973
84.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
31941
248.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22850
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22936
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
86878
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5024
185.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5079
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16716
619.1 IPS |
|
|
Text Classification (SP)
|
100% |
4049
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
92% |
6071
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6365
109.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6456
111.2 IPS |
|
|
Machine Translation (Q)
|
100% |
8704
149.9 IPS |
