Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2
Geekbench AI Score
14980
Single Precision Score
26276
Half Precision Score
10121
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | boriga7 |
| Upload Date | June 24 2025 08:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6257
1.16 KIPS |
|
|
Image Classification (HP)
|
99% |
10419
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
4727
881.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
10750
174.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17599
285.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8469
137.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
70392
82.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
205835
240.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58303
68.3 IPS |
|
|
Object Detection (SP)
|
100% |
7863
623.7 IPS |
|
|
Object Detection (HP)
|
100% |
14096
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
5999
483.8 IPS |
|
|
Face Detection (SP)
|
100% |
18015
214.1 IPS |
|
|
Face Detection (HP)
|
100% |
30167
358.4 IPS |
|
|
Face Detection (Q)
|
97% |
14226
169.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
35625
274.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
68645
530.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24350
194.9 IPS |
|
|
Style Transfer (SP)
|
100% |
117196
150.7 IPS |
|
|
Style Transfer (HP)
|
100% |
310311
398.9 IPS |
|
|
Style Transfer (Q)
|
98% |
95388
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21750
803.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37031
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13856
513.1 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2941
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4122
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1481
27.8 IPS |
