Gigabyte Technology Co., Ltd. B550 AORUS MASTER
Geekbench AI Score
2794
Single Precision Score
1231
Half Precision Score
3867
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 04:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2322
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.9 IPS |
|
|
Image Classification (Q)
|
96% |
3457
645.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
4999
81.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6770
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4728
5.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
10243
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
58% |
2785
304.3 IPS |
|
|
Face Detection (SP)
|
100% |
3749
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
1124
13.4 IPS |
|
|
Face Detection (Q)
|
96% |
7124
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5633
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1766
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
8635
68.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14615
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13665
17.6 IPS |
|
|
Style Transfer (Q)
|
87% |
12798
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1637
60.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1414
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
993
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
477
636.1 IPS |
|
|
Text Classification (Q)
|
97% |
791
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1480
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
1724
33.3 IPS |
