Gpu1 ai ASUS System Product Name
Geekbench AI Score
24744
Single Precision Score
38242
Half Precision Score
21385
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | aug |
| Upload Date | March 18 2026 09:43 PM |
| Views | 9 |
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 B650-A GAMING WIFI |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12091
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
15415
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
11738
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11697
189.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14162
229.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15624
254.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
128145
149.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
425553
496.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
113631
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
10387
823.9 IPS |
|
|
Object Detection (HP)
|
99% |
15705
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
9635
773.9 IPS |
|
|
Face Detection (SP)
|
100% |
31619
375.7 IPS |
|
|
Face Detection (HP)
|
100% |
44616
530.1 IPS |
|
|
Face Detection (Q)
|
97% |
27535
328.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
65127
501.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97133
748.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
55069
441.6 IPS |
|
|
Style Transfer (SP)
|
100% |
236117
303.5 IPS |
|
|
Style Transfer (HP)
|
100% |
475779
611.6 IPS |
|
|
Style Transfer (Q)
|
98% |
206171
265.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38702
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73031
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32500
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4121
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4856
6.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2980
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5894
101.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6271
108.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3291
61.7 IPS |
