ASUS System Product Name
Geekbench AI Score
25405
Single Precision Score
39305
Half Precision Score
21882
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 07:21 AM |
| 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 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12549
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
15698
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
12087
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11922
193.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14437
234.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15990
260.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
134465
156.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
453136
528.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
115647
135.5 IPS |
|
|
Object Detection (SP)
|
100% |
10879
862.9 IPS |
|
|
Object Detection (HP)
|
99% |
16576
1.31 KIPS |
|
|
Object Detection (Q)
|
87% |
10167
816.5 IPS |
|
|
Face Detection (SP)
|
100% |
31986
380.1 IPS |
|
|
Face Detection (HP)
|
100% |
46149
548.4 IPS |
|
|
Face Detection (Q)
|
97% |
27957
333.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
67663
521.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96300
741.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
55064
441.6 IPS |
|
|
Style Transfer (SP)
|
100% |
243418
312.9 IPS |
|
|
Style Transfer (HP)
|
100% |
482442
620.2 IPS |
|
|
Style Transfer (Q)
|
98% |
209343
269.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40036
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74281
2.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33686
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4134
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4860
6.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2987
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5869
101.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6679
115.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3416
64.1 IPS |
