ASUS System Product Name
Geekbench AI Score
45796
Single Precision Score
67691
Half Precision Score
33665
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 30 2025 08:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16431
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
21188
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
14076
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35565
576.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
45046
730.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
32118
522.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
390236
455.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
888279
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312990
366.6 IPS |
|
|
Object Detection (SP)
|
100% |
22472
1.78 KIPS |
|
|
Object Detection (HP)
|
100% |
28919
2.29 KIPS |
|
|
Object Detection (Q)
|
85% |
18590
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
66027
784.5 IPS |
|
|
Face Detection (HP)
|
100% |
85983
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
52762
629.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
102628
790.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
187817
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73249
586.7 IPS |
|
|
Style Transfer (SP)
|
100% |
589415
757.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1633315
2.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
486388
627.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72298
2.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93016
3.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51719
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4797
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2389
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
6876
118.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7000
120.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3061
57.4 IPS |
