ASUS System Product Name
Geekbench AI Score
28873
Single Precision Score
44776
Half Precision Score
23173
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 03:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13450
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
16165
3.01 KIPS |
|
|
Image Classification (Q)
|
100% |
12257
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19394
314.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
27688
448.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17982
292.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
139682
163.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
461986
539.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
119641
140.1 IPS |
|
|
Object Detection (SP)
|
100% |
11512
913.1 IPS |
|
|
Object Detection (HP)
|
99% |
17577
1.39 KIPS |
|
|
Object Detection (Q)
|
87% |
10549
847.2 IPS |
|
|
Face Detection (SP)
|
100% |
34396
408.7 IPS |
|
|
Face Detection (HP)
|
100% |
48743
579.2 IPS |
|
|
Face Detection (Q)
|
97% |
29212
348.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
70947
546.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100900
777.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
57510
461.2 IPS |
|
|
Style Transfer (SP)
|
100% |
260369
334.7 IPS |
|
|
Style Transfer (HP)
|
100% |
516266
663.7 IPS |
|
|
Style Transfer (Q)
|
98% |
217848
280.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44068
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87311
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34904
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
4953
6.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5639
7.53 KIPS |
|
|
Text Classification (Q)
|
97% |
3415
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6924
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7130
122.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3680
69.0 IPS |
