ASUS System Product Name
Geekbench AI Score
29361
Single Precision Score
46406
Half Precision Score
23571
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 01 2025 03:20 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% |
13747
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
16556
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
12427
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20933
339.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31272
506.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19261
313.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
134545
157.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
462906
540.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
118750
139.1 IPS |
|
|
Object Detection (SP)
|
100% |
11815
937.1 IPS |
|
|
Object Detection (HP)
|
99% |
18453
1.46 KIPS |
|
|
Object Detection (Q)
|
87% |
10882
874.0 IPS |
|
|
Face Detection (SP)
|
100% |
35294
419.4 IPS |
|
|
Face Detection (HP)
|
100% |
51718
614.5 IPS |
|
|
Face Detection (Q)
|
97% |
30339
361.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
70407
542.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100728
776.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
57557
461.6 IPS |
|
|
Style Transfer (SP)
|
100% |
250980
322.6 IPS |
|
|
Style Transfer (HP)
|
100% |
514419
661.3 IPS |
|
|
Style Transfer (Q)
|
98% |
214800
277.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44277
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88181
3.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34653
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4899
6.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5615
7.49 KIPS |
|
|
Text Classification (Q)
|
97% |
3380
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
7695
132.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7894
136.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3897
73.1 IPS |
