Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
22914
Single Precision Score
35706
Half Precision Score
14127
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 01:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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 | Hchstleistung |
| 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% |
9323
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
13453
2.51 KIPS |
|
|
Image Classification (Q)
|
100% |
6393
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15528
251.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22264
360.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11405
185.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
130715
152.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
379607
442.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
103173
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
11450
908.2 IPS |
|
|
Object Detection (HP)
|
100% |
16882
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
7953
639.7 IPS |
|
|
Face Detection (SP)
|
100% |
29205
347.0 IPS |
|
|
Face Detection (HP)
|
100% |
43132
512.5 IPS |
|
|
Face Detection (Q)
|
97% |
20475
244.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
60585
466.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104766
807.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
35665
285.7 IPS |
|
|
Style Transfer (SP)
|
100% |
241033
309.9 IPS |
|
|
Style Transfer (HP)
|
100% |
578583
743.8 IPS |
|
|
Style Transfer (Q)
|
98% |
174659
225.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35514
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45231
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19540
723.5 IPS |
|
|
Text Classification (SP)
|
100% |
2780
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
3472
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1392
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4374
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4275
73.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1526
28.6 IPS |
