Gigabyte Technology Co., Ltd. B450 AORUS M
Geekbench AI Score
1049
Single Precision Score
460
Half Precision Score
1170
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 31 2024 05:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS M |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS M |
| 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% |
736
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
96% |
1092
203.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
987
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2023
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1858
2.17 IPS |
|
|
Pose Estimation (Q)
|
87% |
5269
6.22 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (Q)
|
86% |
524
42.1 IPS |
|
|
Face Detection (SP)
|
100% |
800
9.51 IPS |
|
|
Face Detection (HP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (Q)
|
96% |
1216
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2045
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
659
5.07 IPS |
|
|
Depth Estimation (Q)
|
77% |
2021
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4495
5.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3960
5.09 IPS |
|
|
Style Transfer (Q)
|
87% |
5982
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
741
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
704
26.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
926
34.3 IPS |
|
|
Text Classification (SP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
209
278.7 IPS |
|
|
Text Classification (Q)
|
97% |
260
348.1 IPS |
|
|
Machine Translation (SP)
|
100% |
581
10.0 IPS |
|
|
Machine Translation (HP)
|
100% |
130
2.23 IPS |
|
|
Machine Translation (Q)
|
60% |
458
10.2 IPS |
