ASUS System Product Name
Geekbench AI Score
45563
Single Precision Score
67467
Half Precision Score
33485
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 27 2025 07:40 AM |
| Views | 10 |
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% |
16244
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
21392
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
14275
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35932
582.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
45328
734.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
32226
524.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
385193
449.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
900979
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312784
366.4 IPS |
|
|
Object Detection (SP)
|
100% |
22141
1.76 KIPS |
|
|
Object Detection (HP)
|
100% |
28163
2.23 KIPS |
|
|
Object Detection (Q)
|
85% |
18443
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
65196
774.7 IPS |
|
|
Face Detection (HP)
|
100% |
83723
994.8 IPS |
|
|
Face Detection (Q)
|
97% |
52590
627.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
103476
797.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
188684
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72992
584.6 IPS |
|
|
Style Transfer (SP)
|
100% |
584118
750.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1629039
2.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
488976
630.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71525
2.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93452
3.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51605
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2292
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
7018
120.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6920
119.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3008
56.4 IPS |
