Gigabyte Technology Co., Ltd. B450 AORUS M
Geekbench AI Score
2372
Single Precision Score
1082
Half Precision Score
2733
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 05:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS M |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS M |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1843
342.8 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
96% |
2202
411.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
2670
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4195
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3434
4.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
4496
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
528
41.9 IPS |
|
|
Object Detection (Q)
|
58% |
1563
170.8 IPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
4752
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5176
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1569
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
5020
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9779
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7548
9.70 IPS |
|
|
Style Transfer (Q)
|
87% |
9226
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1730
64.1 IPS |
|
|
Text Classification (SP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
511
681.9 IPS |
|
|
Text Classification (Q)
|
97% |
793
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1867
36.1 IPS |
