ASUS System Product Name
Geekbench AI Score
49947
Single Precision Score
72961
Half Precision Score
37052
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZKAPARTS |
| Upload Date | December 06 2025 08:54 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% |
17833
3.32 KIPS |
|
|
Image Classification (HP)
|
100% |
22039
4.10 KIPS |
|
|
Image Classification (Q)
|
100% |
15098
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37488
607.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
46924
760.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
35253
573.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
436689
509.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
1057475
1.23 KIPS |
|
|
Pose Estimation (Q)
|
96% |
345326
404.5 IPS |
|
|
Object Detection (SP)
|
100% |
24816
1.97 KIPS |
|
|
Object Detection (HP)
|
100% |
31840
2.53 KIPS |
|
|
Object Detection (Q)
|
85% |
21339
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
73348
871.5 IPS |
|
|
Face Detection (HP)
|
100% |
94357
1.12 KIPS |
|
|
Face Detection (Q)
|
97% |
59369
707.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
114445
881.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
197045
1.52 KIPS |
|
|
Depth Estimation (Q)
|
77% |
82316
659.3 IPS |
|
|
Style Transfer (SP)
|
100% |
665235
855.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1809235
2.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
554230
714.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77552
2.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101127
3.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56861
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
4134
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4848
6.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2458
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
7451
128.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7445
128.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3285
61.6 IPS |
