ASUS System Product Name
Geekbench AI Score
45910
Single Precision Score
67723
Half Precision Score
33833
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 27 2025 11:21 PM |
| 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% |
16498
3.07 KIPS |
|
|
Image Classification (HP)
|
100% |
20893
3.89 KIPS |
|
|
Image Classification (Q)
|
100% |
14101
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
36054
584.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
45210
732.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
32174
523.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
393199
458.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
888933
1.04 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316405
370.6 IPS |
|
|
Object Detection (SP)
|
100% |
22131
1.76 KIPS |
|
|
Object Detection (HP)
|
100% |
28870
2.29 KIPS |
|
|
Object Detection (Q)
|
85% |
18642
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
66931
795.3 IPS |
|
|
Face Detection (HP)
|
100% |
86812
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
53200
634.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
103071
794.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
187929
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73765
590.8 IPS |
|
|
Style Transfer (SP)
|
100% |
580097
745.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1624684
2.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
491754
634.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71770
2.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92371
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52337
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4847
6.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2372
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
7071
121.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7055
121.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3066
57.5 IPS |
