ASUS System Product Name
Geekbench AI Score
24434
Single Precision Score
36793
Half Precision Score
21296
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:17 PM |
| Views | 2 |
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. B650M-AYW WIFI |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12168
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
15308
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
11901
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10924
177.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13218
214.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14727
239.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
135149
157.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
431142
503.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
120943
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
10344
820.5 IPS |
|
|
Object Detection (HP)
|
99% |
15889
1.26 KIPS |
|
|
Object Detection (Q)
|
87% |
9863
792.1 IPS |
|
|
Face Detection (SP)
|
100% |
30410
361.3 IPS |
|
|
Face Detection (HP)
|
100% |
39075
464.3 IPS |
|
|
Face Detection (Q)
|
97% |
25832
308.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
66545
512.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
95318
734.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
55467
444.8 IPS |
|
|
Style Transfer (SP)
|
100% |
242932
312.3 IPS |
|
|
Style Transfer (HP)
|
100% |
460772
592.3 IPS |
|
|
Style Transfer (Q)
|
98% |
207836
268.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39942
1.47 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74074
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33069
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
4221
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4918
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
3065
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3041
57.0 IPS |
