Gigabyte Technology Co., Ltd. X570 AORUS PRO WIFI
Geekbench AI Score
34753
Single Precision Score
57373
Half Precision Score
26485
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 17 2025 02:37 PM |
| Views | 6 |
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 PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS PRO WIFI |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13574
2.52 KIPS |
|
|
Image Classification (HP)
|
100% |
19440
3.62 KIPS |
|
|
Image Classification (Q)
|
100% |
11889
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25318
410.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
35360
573.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22731
369.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
233685
272.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
696544
812.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
198937
233.0 IPS |
|
|
Object Detection (SP)
|
100% |
17886
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
27001
2.14 KIPS |
|
|
Object Detection (Q)
|
86% |
15449
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
54767
650.7 IPS |
|
|
Face Detection (HP)
|
100% |
79233
941.5 IPS |
|
|
Face Detection (Q)
|
97% |
43793
522.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
87508
674.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
160216
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64483
514.9 IPS |
|
|
Style Transfer (SP)
|
100% |
337807
434.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1065878
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
293559
378.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53290
1.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80633
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39219
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2172
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5964
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6517
112.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2896
54.3 IPS |
