Gigabyte Technology Co., Ltd. B550 AORUS PRO AC
Geekbench AI Score
14296
Single Precision Score
22698
Half Precision Score
9804
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | smalzubadi |
| Upload Date | April 19 2026 12:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO AC |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO AC |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5885
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
7590
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
4360
813.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9859
159.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13371
216.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7593
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
74793
87.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
210716
245.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
62325
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
7154
567.4 IPS |
|
|
Object Detection (HP)
|
100% |
11577
918.3 IPS |
|
|
Object Detection (Q)
|
84% |
5590
450.8 IPS |
|
|
Face Detection (SP)
|
100% |
17393
206.7 IPS |
|
|
Face Detection (HP)
|
100% |
26863
319.2 IPS |
|
|
Face Detection (Q)
|
97% |
13849
165.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
35626
274.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
64566
497.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
24682
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
128009
164.6 IPS |
|
|
Style Transfer (HP)
|
100% |
294060
378.0 IPS |
|
|
Style Transfer (Q)
|
98% |
102800
132.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23797
878.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33707
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14040
519.9 IPS |
|
|
Text Classification (SP)
|
100% |
1853
2.47 KIPS |
|
|
Text Classification (HP)
|
99% |
2614
3.49 KIPS |
|
|
Text Classification (Q)
|
97% |
1077
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3284
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3263
56.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1339
25.1 IPS |
