ASUS System Product Name
Geekbench AI Score
47777
Single Precision Score
70777
Half Precision Score
35604
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | steven_ma |
| Upload Date | March 11 2026 11:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17264
3.21 KIPS |
|
|
Image Classification (HP)
|
100% |
22554
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
15080
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33012
535.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
41021
665.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
30846
501.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
410063
478.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
980830
1.14 KIPS |
|
|
Pose Estimation (Q)
|
96% |
330433
387.1 IPS |
|
|
Object Detection (SP)
|
100% |
24224
1.92 KIPS |
|
|
Object Detection (HP)
|
100% |
32066
2.54 KIPS |
|
|
Object Detection (Q)
|
85% |
20204
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
73933
878.5 IPS |
|
|
Face Detection (HP)
|
100% |
98090
1.17 KIPS |
|
|
Face Detection (Q)
|
97% |
59821
713.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
118510
913.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
192924
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
83868
671.7 IPS |
|
|
Style Transfer (SP)
|
100% |
612972
788.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1695470
2.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
513387
662.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74336
2.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100399
3.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53632
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5037
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2490
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6802
117.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6682
115.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3065
57.5 IPS |
