ASUS System Product Name
Geekbench AI Score
21987
Single Precision Score
31261
Half Precision Score
18805
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 05:36 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. TUF GAMING B650-PLUS WIFI |
| Power Plan | High performance |
| 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% |
10271
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
11896
2.21 KIPS |
|
|
Image Classification (Q)
|
100% |
10121
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10355
167.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10947
177.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12619
205.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
133626
155.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
435546
508.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
117572
137.7 IPS |
|
|
Object Detection (SP)
|
100% |
9429
747.9 IPS |
|
|
Object Detection (HP)
|
99% |
12464
988.6 IPS |
|
|
Object Detection (Q)
|
87% |
8965
720.0 IPS |
|
|
Face Detection (SP)
|
100% |
25203
299.5 IPS |
|
|
Face Detection (HP)
|
100% |
32553
386.8 IPS |
|
|
Face Detection (Q)
|
97% |
23162
276.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
68305
526.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96281
741.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
56529
453.3 IPS |
|
|
Style Transfer (SP)
|
100% |
246107
316.4 IPS |
|
|
Style Transfer (HP)
|
100% |
479637
616.6 IPS |
|
|
Style Transfer (Q)
|
98% |
201283
259.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36911
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54751
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27068
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2854
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2251
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4416
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4751
81.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2559
48.0 IPS |
