BIOSTAR Group B550MHP
Geekbench AI Score
3049
Single Precision Score
1419
Half Precision Score
3599
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 31 2024 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B550MHP |
| Motherboard | BIOSTAR Group B550MHP |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2532
470.9 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
96% |
4117
768.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1253
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
1832
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5208
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4075
4.75 IPS |
|
|
Pose Estimation (Q)
|
86% |
10111
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2384
189.1 IPS |
|
|
Object Detection (HP)
|
100% |
716
56.8 IPS |
|
|
Object Detection (Q)
|
58% |
2401
262.4 IPS |
|
|
Face Detection (SP)
|
100% |
3794
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (Q)
|
96% |
6664
79.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6642
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2110
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9050
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11961
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9782
12.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14499
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1873
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2529
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
1476
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
743
992.3 IPS |
|
|
Text Classification (Q)
|
97% |
419
561.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2153
41.6 IPS |
