ASUS TUF GAMING X570-PRO (WI-FI) (AM4) ASUS System Product Name
Geekbench AI Score
14976
Single Precision Score
26107
Half Precision Score
10180
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | bluepill |
| Upload Date | February 28 2026 05:36 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6320
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
10651
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
4739
884.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10576
171.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17017
275.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8366
136.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71096
83.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
202086
235.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
59151
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
7606
603.3 IPS |
|
|
Object Detection (HP)
|
100% |
13943
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
5952
480.1 IPS |
|
|
Face Detection (SP)
|
100% |
17922
213.0 IPS |
|
|
Face Detection (HP)
|
100% |
29976
356.2 IPS |
|
|
Face Detection (Q)
|
97% |
14070
167.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
35929
276.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
69970
540.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
24648
197.3 IPS |
|
|
Style Transfer (SP)
|
100% |
118589
152.4 IPS |
|
|
Style Transfer (HP)
|
100% |
304018
390.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95726
123.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21746
803.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36964
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13944
516.3 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
2943
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1239
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4004
69.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4153
71.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1494
28.0 IPS |
