ASUS System Product Name
Geekbench AI Score
28834
Single Precision Score
44696
Half Precision Score
23227
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 03:36 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% |
13442
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
16138
3.00 KIPS |
|
|
Image Classification (Q)
|
100% |
12270
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19484
315.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
27659
448.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
18000
292.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
138688
161.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
461796
538.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
119195
139.6 IPS |
|
|
Object Detection (SP)
|
100% |
11549
916.0 IPS |
|
|
Object Detection (HP)
|
99% |
17623
1.40 KIPS |
|
|
Object Detection (Q)
|
87% |
10605
851.8 IPS |
|
|
Face Detection (SP)
|
100% |
34303
407.6 IPS |
|
|
Face Detection (HP)
|
100% |
48853
580.5 IPS |
|
|
Face Detection (Q)
|
97% |
29278
349.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
71076
547.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99884
769.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
57739
463.0 IPS |
|
|
Style Transfer (SP)
|
100% |
255871
328.9 IPS |
|
|
Style Transfer (HP)
|
100% |
509286
654.7 IPS |
|
|
Style Transfer (Q)
|
98% |
218890
282.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44111
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86785
3.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34979
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4928
6.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5645
7.54 KIPS |
|
|
Text Classification (Q)
|
97% |
3450
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6985
120.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7195
123.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3666
68.8 IPS |
