BIOSTAR Group B650MP-E PRO
Geekbench AI Score
25274
Single Precision Score
30317
Half Precision Score
19447
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 24 2025 02:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7700 XT |
| 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% |
11268
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
11477
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
9718
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16572
268.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14251
231.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14392
234.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
174213
203.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
302305
352.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
148439
173.9 IPS |
|
|
Object Detection (SP)
|
100% |
12105
960.1 IPS |
|
|
Object Detection (HP)
|
99% |
12643
1.00 KIPS |
|
|
Object Detection (Q)
|
87% |
10555
847.7 IPS |
|
|
Face Detection (SP)
|
100% |
32401
385.0 IPS |
|
|
Face Detection (HP)
|
100% |
36979
439.4 IPS |
|
|
Face Detection (Q)
|
97% |
26504
316.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
60515
466.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
69970
539.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
47192
378.2 IPS |
|
|
Style Transfer (SP)
|
100% |
282625
363.3 IPS |
|
|
Style Transfer (HP)
|
100% |
459463
590.6 IPS |
|
|
Style Transfer (Q)
|
98% |
232990
300.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32405
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50169
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25948
960.8 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2134
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4691
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4981
85.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2188
41.0 IPS |
