ASUS System Product Name
Geekbench AI Score
49655
Single Precision Score
72958
Half Precision Score
36765
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZKAPARTS |
| Upload Date | December 06 2025 07:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
18047
3.36 KIPS |
|
|
Image Classification (HP)
|
100% |
22610
4.20 KIPS |
|
|
Image Classification (Q)
|
100% |
15536
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37950
615.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
46790
758.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
35148
571.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
431335
503.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
1037379
1.21 KIPS |
|
|
Pose Estimation (Q)
|
96% |
347330
406.8 IPS |
|
|
Object Detection (SP)
|
100% |
25086
1.99 KIPS |
|
|
Object Detection (HP)
|
100% |
32125
2.55 KIPS |
|
|
Object Detection (Q)
|
85% |
20788
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
73557
874.0 IPS |
|
|
Face Detection (HP)
|
100% |
94459
1.12 KIPS |
|
|
Face Detection (Q)
|
97% |
58790
701.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
113194
872.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
200162
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
80248
642.7 IPS |
|
|
Style Transfer (SP)
|
100% |
648114
833.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1807428
2.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
539063
695.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78471
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100295
3.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55260
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
4773
6.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2475
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
7295
125.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7409
127.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3290
61.7 IPS |
