ASUS System Product Name
Geekbench AI Score
1909
Single Precision Score
2093
Half Precision Score
1567
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Moklonus |
| Upload Date | March 22 2025 04:00 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | 1usmus Ryzen Power Plan |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
100% |
639
118.9 IPS |
|
|
Image Classification (Q)
|
100% |
654
121.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6257
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
10413
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
5632
6.60 IPS |
|
|
Object Detection (SP)
|
100% |
699
55.5 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
87% |
665
53.4 IPS |
|
|
Face Detection (SP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
2073
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
1922
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3612
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4308
33.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3167
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11074
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16150
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9750
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2794
103.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2093
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.5 IPS |
|
|
Text Classification (HP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
514
688.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (Q)
|
70% |
590
11.1 IPS |
