ASUS System Product Name
Geekbench AI Score
30465
Single Precision Score
47489
Half Precision Score
24541
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:42 PM |
| 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% |
13857
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
16786
3.12 KIPS |
|
|
Image Classification (Q)
|
100% |
12579
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21475
348.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
31554
511.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19628
319.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
145273
169.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
475430
554.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
125556
147.1 IPS |
|
|
Object Detection (SP)
|
100% |
12121
961.5 IPS |
|
|
Object Detection (HP)
|
99% |
18700
1.48 KIPS |
|
|
Object Detection (Q)
|
87% |
10952
879.6 IPS |
|
|
Face Detection (SP)
|
100% |
36842
437.8 IPS |
|
|
Face Detection (HP)
|
100% |
52588
624.9 IPS |
|
|
Face Detection (Q)
|
97% |
31405
374.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
72181
556.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102039
786.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
59151
474.4 IPS |
|
|
Style Transfer (SP)
|
100% |
265925
341.8 IPS |
|
|
Style Transfer (HP)
|
100% |
528205
679.0 IPS |
|
|
Style Transfer (Q)
|
98% |
226030
291.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43987
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89678
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36114
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4995
6.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
97% |
3572
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
8460
145.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8663
149.2 IPS |
|
|
Machine Translation (Q)
|
70% |
4309
80.8 IPS |
