Gigabyte Technology Co., Ltd. B550 AORUS MASTER
Geekbench AI Score
15793
Single Precision Score
25831
Half Precision Score
10691
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 04:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 SUPER |
| 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% |
6398
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
10266
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
4810
897.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11404
184.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16093
260.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8860
144.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
83220
97.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
232552
271.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
68091
79.8 IPS |
|
|
Object Detection (SP)
|
100% |
8051
638.6 IPS |
|
|
Object Detection (HP)
|
100% |
12820
1.02 KIPS |
|
|
Object Detection (Q)
|
84% |
6132
494.6 IPS |
|
|
Face Detection (SP)
|
100% |
19071
226.6 IPS |
|
|
Face Detection (HP)
|
100% |
29853
354.7 IPS |
|
|
Face Detection (Q)
|
97% |
14912
177.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
40213
309.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71161
548.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
26635
213.3 IPS |
|
|
Style Transfer (SP)
|
100% |
144341
185.6 IPS |
|
|
Style Transfer (HP)
|
100% |
334314
429.8 IPS |
|
|
Style Transfer (Q)
|
98% |
115779
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25711
949.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38092
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15148
560.9 IPS |
|
|
Text Classification (SP)
|
100% |
1886
2.52 KIPS |
|
|
Text Classification (HP)
|
99% |
2684
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1100
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3679
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1431
26.8 IPS |
