BIOSTAR Group A620MP-E PRO
Geekbench AI Score
2402
Single Precision Score
1226
Half Precision Score
5445
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mahtbr |
| Upload Date | May 18 2025 04:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | BIOSTAR Group A620MP-E PRO |
| Motherboard | BIOSTAR Group A620MP-E PRO |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2253
418.9 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
99% |
5926
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2966
48.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3392
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
15279
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.1 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
5297
425.7 IPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
1367
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
8259
98.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4566
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1812
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6312
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8640
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7561
9.72 IPS |
|
|
Style Transfer (Q)
|
98% |
21259
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1548
57.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1448
53.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2973
110.1 IPS |
|
|
Text Classification (SP)
|
100% |
1205
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
636
849.5 IPS |
|
|
Text Classification (Q)
|
97% |
1614
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3031
60.9 IPS |
