ASUS System Product Name
Geekbench AI Score
1885
Single Precision Score
2106
Half Precision Score
1540
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EnduroFever |
| Upload Date | October 30 2025 08:03 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
653
121.4 IPS |
|
|
Image Classification (HP)
|
100% |
653
121.5 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
959
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6052
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
10358
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
5425
6.36 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
100% |
694
55.0 IPS |
|
|
Object Detection (Q)
|
87% |
658
52.8 IPS |
|
|
Face Detection (SP)
|
100% |
2014
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2091
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
1876
22.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3583
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4360
33.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3117
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10915
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16004
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
9603
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2765
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2057
76.2 IPS |
|
|
Text Classification (SP)
|
100% |
715
955.0 IPS |
|
|
Text Classification (HP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
497
665.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1199
20.6 IPS |
|
|
Machine Translation (Q)
|
70% |
591
11.1 IPS |
