ASUS System Product Name
Geekbench AI Score
22938
Single Precision Score
30292
Half Precision Score
20707
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Adpocalyptic |
| Upload Date | February 23 2026 11:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8563
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
10065
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
8117
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10674
173.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12416
201.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14282
232.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
211116
246.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
479919
560.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
192759
225.8 IPS |
|
|
Object Detection (SP)
|
100% |
8796
697.7 IPS |
|
|
Object Detection (HP)
|
99% |
11353
900.6 IPS |
|
|
Object Detection (Q)
|
87% |
8204
658.9 IPS |
|
|
Face Detection (SP)
|
100% |
31153
370.2 IPS |
|
|
Face Detection (HP)
|
100% |
36798
437.2 IPS |
|
|
Face Detection (Q)
|
97% |
29708
354.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
71526
551.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
93054
716.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
65197
522.5 IPS |
|
|
Style Transfer (SP)
|
100% |
331454
426.1 IPS |
|
|
Style Transfer (HP)
|
100% |
510164
655.8 IPS |
|
|
Style Transfer (Q)
|
98% |
319172
411.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31977
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46100
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30935
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2826
3.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1798
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4104
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4199
72.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2300
43.1 IPS |
