ASUS System Product Name
Geekbench AI Score
37274
Single Precision Score
52351
Half Precision Score
32059
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mfurse |
| Upload Date | April 05 2025 10:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17120
3.18 KIPS |
|
|
Image Classification (HP)
|
100% |
18977
3.53 KIPS |
|
|
Image Classification (Q)
|
99% |
15725
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19951
323.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23004
372.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
25657
417.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
225390
263.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
660919
771.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
202057
236.7 IPS |
|
|
Object Detection (SP)
|
100% |
16771
1.33 KIPS |
|
|
Object Detection (HP)
|
99% |
22307
1.77 KIPS |
|
|
Object Detection (Q)
|
87% |
15609
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
56003
665.4 IPS |
|
|
Face Detection (HP)
|
100% |
67175
798.2 IPS |
|
|
Face Detection (Q)
|
97% |
49676
592.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
89246
687.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
134563
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74933
600.5 IPS |
|
|
Style Transfer (SP)
|
100% |
407952
524.4 IPS |
|
|
Style Transfer (HP)
|
100% |
736096
946.3 IPS |
|
|
Style Transfer (Q)
|
98% |
368129
474.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54196
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89925
3.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45052
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
4805
6.41 KIPS |
|
|
Text Classification (HP)
|
100% |
5213
6.96 KIPS |
|
|
Text Classification (Q)
|
97% |
3429
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
7552
130.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7702
132.7 IPS |
|
|
Machine Translation (Q)
|
70% |
4258
79.9 IPS |
