Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
15164
Single Precision Score
15236
Half Precision Score
10680
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | vududoc |
| Upload Date | November 07 2025 04:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon VII |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6006
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6849
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
4753
883.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9555
154.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9813
159.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7866
127.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
100281
117.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
144631
168.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
83397
97.7 IPS |
|
|
Object Detection (SP)
|
100% |
6877
545.5 IPS |
|
|
Object Detection (HP)
|
100% |
6896
547.0 IPS |
|
|
Object Detection (Q)
|
88% |
5630
451.4 IPS |
|
|
Face Detection (SP)
|
100% |
21529
255.8 IPS |
|
|
Face Detection (HP)
|
100% |
22192
263.7 IPS |
|
|
Face Detection (Q)
|
97% |
16538
197.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
35222
271.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
38963
300.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
25745
206.2 IPS |
|
|
Style Transfer (SP)
|
100% |
187171
240.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258244
332.0 IPS |
|
|
Style Transfer (Q)
|
98% |
146345
188.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22062
814.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25589
944.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15155
561.2 IPS |
|
|
Text Classification (SP)
|
100% |
1697
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1708
2.28 KIPS |
|
|
Text Classification (Q)
|
97% |
947
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1231
23.1 IPS |
