ASUS System Product Name
Geekbench AI Score
43564
Single Precision Score
63423
Half Precision Score
32558
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 28 2025 05:24 AM |
| Views | 2 |
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% |
15888
2.95 KIPS |
|
|
Image Classification (HP)
|
100% |
21132
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
14175
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30412
493.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
36374
589.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
27720
450.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
388006
452.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
866982
1.01 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312851
366.5 IPS |
|
|
Object Detection (SP)
|
100% |
20962
1.66 KIPS |
|
|
Object Detection (HP)
|
100% |
26543
2.11 KIPS |
|
|
Object Detection (Q)
|
85% |
17706
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
61837
734.8 IPS |
|
|
Face Detection (HP)
|
100% |
80120
952.0 IPS |
|
|
Face Detection (Q)
|
97% |
50859
606.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
103464
797.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
185320
1.43 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72703
582.3 IPS |
|
|
Style Transfer (SP)
|
100% |
575629
740.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1541493
1.98 KIPS |
|
|
Style Transfer (Q)
|
98% |
484843
625.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70188
2.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89415
3.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50421
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3966
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4781
6.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2372
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6112
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6085
104.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2868
53.8 IPS |
