Gigabyte Technology Co., Ltd. B450 AORUS PRO
Geekbench AI Score
2979
Single Precision Score
1246
Half Precision Score
4882
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 07 2025 09:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. B450 AORUS PRO-CF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2159
401.5 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (Q)
|
96% |
4898
914.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2781
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5854
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
4333
5.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
11625
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2091
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
58% |
3621
395.7 IPS |
|
|
Face Detection (SP)
|
100% |
4730
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
1232
14.6 IPS |
|
|
Face Detection (Q)
|
96% |
8067
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6474
49.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1882
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11035
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13211
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11424
14.7 IPS |
|
|
Style Transfer (Q)
|
87% |
17277
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2803
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
548
731.3 IPS |
|
|
Text Classification (Q)
|
97% |
1178
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1770
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2645
51.1 IPS |
