Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench AI Score
35125
Single Precision Score
47602
Half Precision Score
28942
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 24 2025 12:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15595
2.90 KIPS |
|
|
Image Classification (HP)
|
100% |
17117
3.18 KIPS |
|
|
Image Classification (Q)
|
99% |
14968
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18691
303.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21495
348.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22368
363.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
215417
251.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
639968
746.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
197020
230.8 IPS |
|
|
Object Detection (SP)
|
100% |
17042
1.35 KIPS |
|
|
Object Detection (HP)
|
99% |
20005
1.59 KIPS |
|
|
Object Detection (Q)
|
87% |
15580
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
50481
599.8 IPS |
|
|
Face Detection (HP)
|
100% |
56651
673.1 IPS |
|
|
Face Detection (Q)
|
97% |
44887
535.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
86641
667.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
127636
983.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
72566
581.5 IPS |
|
|
Style Transfer (SP)
|
100% |
410131
527.2 IPS |
|
|
Style Transfer (HP)
|
100% |
736089
946.3 IPS |
|
|
Style Transfer (Q)
|
98% |
375073
483.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52357
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82356
3.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43012
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4226
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2733
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
6732
116.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6722
115.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2794
52.4 IPS |
