ASUS System Product Name
Geekbench AI Score
23324
Single Precision Score
35274
Half Precision Score
19932
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | June 04 2025 02:24 PM |
| Views | 4 |
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. ROG CROSSHAIR X670E HERO |
| Power Plan | Rovnovha |
| 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% |
11077
2.06 KIPS |
|
|
Image Classification (HP)
|
100% |
13623
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
10825
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10949
177.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13278
215.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14591
237.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
123968
144.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
433587
505.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
110340
129.3 IPS |
|
|
Object Detection (SP)
|
100% |
9849
781.2 IPS |
|
|
Object Detection (HP)
|
99% |
14921
1.18 KIPS |
|
|
Object Detection (Q)
|
89% |
9169
733.8 IPS |
|
|
Face Detection (SP)
|
100% |
26574
315.8 IPS |
|
|
Face Detection (HP)
|
100% |
36434
432.9 IPS |
|
|
Face Detection (Q)
|
97% |
21714
258.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
65280
502.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
89428
689.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
52169
425.9 IPS |
|
|
Style Transfer (SP)
|
100% |
233643
300.4 IPS |
|
|
Style Transfer (HP)
|
100% |
476301
612.3 IPS |
|
|
Style Transfer (Q)
|
98% |
204840
264.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39643
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73415
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33710
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4117
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4336
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
3051
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4866
83.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2596
57.9 IPS |
