ASUS System Product Name
Geekbench AI Score
25750
Single Precision Score
40807
Half Precision Score
22314
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 10:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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% |
12700
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
16270
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
12430
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12458
202.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15552
252.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
17740
288.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
120197
140.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
438919
512.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
107800
126.3 IPS |
|
|
Object Detection (SP)
|
100% |
11284
895.0 IPS |
|
|
Object Detection (HP)
|
99% |
17555
1.39 KIPS |
|
|
Object Detection (Q)
|
87% |
10482
841.9 IPS |
|
|
Face Detection (SP)
|
100% |
35182
418.0 IPS |
|
|
Face Detection (HP)
|
100% |
50919
605.0 IPS |
|
|
Face Detection (Q)
|
97% |
30409
362.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
67499
520.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99325
765.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
56575
453.7 IPS |
|
|
Style Transfer (SP)
|
100% |
226534
291.2 IPS |
|
|
Style Transfer (HP)
|
100% |
477446
613.8 IPS |
|
|
Style Transfer (Q)
|
98% |
199680
257.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38818
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75417
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32617
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
4169
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4870
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2975
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6863
118.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7406
127.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3685
69.1 IPS |
