Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench AI Score
34417
Single Precision Score
55786
Half Precision Score
26399
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 21 2026 10:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12985
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
17983
3.34 KIPS |
|
|
Image Classification (Q)
|
100% |
11368
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25706
416.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
35331
572.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22856
371.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
233568
272.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
722468
843.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
199729
234.0 IPS |
|
|
Object Detection (SP)
|
100% |
17873
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
26514
2.10 KIPS |
|
|
Object Detection (Q)
|
86% |
15480
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
55039
654.0 IPS |
|
|
Face Detection (HP)
|
100% |
77176
917.0 IPS |
|
|
Face Detection (Q)
|
97% |
45100
537.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
88381
680.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
161563
1.24 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65720
524.8 IPS |
|
|
Style Transfer (SP)
|
100% |
340065
437.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1062761
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
298193
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51530
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76181
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39153
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3741
4.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2022
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6378
109.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6352
109.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2925
54.9 IPS |
