ASUS System Product Name
Geekbench AI Score
46007
Single Precision Score
68642
Half Precision Score
33675
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 21 2025 10:21 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16754
3.12 KIPS |
|
|
Image Classification (HP)
|
100% |
21480
3.99 KIPS |
|
|
Image Classification (Q)
|
100% |
14485
2.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35750
579.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
44803
726.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
32205
523.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
385568
449.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
937074
1.09 KIPS |
|
|
Pose Estimation (Q)
|
96% |
310484
363.7 IPS |
|
|
Object Detection (SP)
|
100% |
22549
1.79 KIPS |
|
|
Object Detection (HP)
|
100% |
28900
2.29 KIPS |
|
|
Object Detection (Q)
|
85% |
18918
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
66174
786.3 IPS |
|
|
Face Detection (HP)
|
100% |
85963
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
53121
633.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
101986
785.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
188441
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72610
581.6 IPS |
|
|
Style Transfer (SP)
|
100% |
578316
743.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1652994
2.12 KIPS |
|
|
Style Transfer (Q)
|
98% |
488733
630.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
73894
2.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95876
3.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51451
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4990
6.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2399
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6888
118.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6956
119.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2942
55.2 IPS |
