ASUS System Product Name
Geekbench AI Score
29397
Single Precision Score
46505
Half Precision Score
23554
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 03:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13752
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
16695
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
12384
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21031
340.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
31014
502.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19361
314.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
134993
157.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
460848
537.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
116930
137.0 IPS |
|
|
Object Detection (SP)
|
100% |
11860
940.7 IPS |
|
|
Object Detection (HP)
|
99% |
18658
1.48 KIPS |
|
|
Object Detection (Q)
|
87% |
10847
871.2 IPS |
|
|
Face Detection (SP)
|
100% |
35210
418.4 IPS |
|
|
Face Detection (HP)
|
100% |
51596
613.1 IPS |
|
|
Face Detection (Q)
|
97% |
30336
361.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
70517
543.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100044
770.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
57177
458.5 IPS |
|
|
Style Transfer (SP)
|
100% |
249772
321.1 IPS |
|
|
Style Transfer (HP)
|
100% |
517220
664.9 IPS |
|
|
Style Transfer (Q)
|
98% |
214736
276.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44183
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89324
3.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34450
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4939
6.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5688
7.59 KIPS |
|
|
Text Classification (Q)
|
97% |
3404
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
7693
132.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7836
135.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3957
74.2 IPS |
