ASUS System Product Name
Geekbench AI Score
33047
Single Precision Score
38975
Half Precision Score
26828
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EnduroFever |
| Upload Date | October 30 2025 08:09 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 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 | 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% |
14091
2.62 KIPS |
|
|
Image Classification (HP)
|
100% |
14922
2.78 KIPS |
|
|
Image Classification (Q)
|
99% |
12186
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21102
342.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18653
302.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19225
312.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
263484
307.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
462894
540.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
238032
278.8 IPS |
|
|
Object Detection (SP)
|
100% |
15281
1.21 KIPS |
|
|
Object Detection (HP)
|
99% |
16756
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
13811
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
44070
523.7 IPS |
|
|
Face Detection (HP)
|
100% |
48724
578.9 IPS |
|
|
Face Detection (Q)
|
97% |
39203
467.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
75300
580.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94012
724.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
65944
528.5 IPS |
|
|
Style Transfer (SP)
|
100% |
435354
559.7 IPS |
|
|
Style Transfer (HP)
|
100% |
663385
852.8 IPS |
|
|
Style Transfer (Q)
|
98% |
379502
489.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46686
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60396
2.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37932
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4255
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4084
5.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2567
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4522
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4999
86.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2626
49.2 IPS |
