ASUS System Product Name
Geekbench AI Score
43841
Single Precision Score
64546
Half Precision Score
32396
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 12:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PRO WIFI |
| Power Plan | Revision - Ultra Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16216
3.02 KIPS |
|
|
Image Classification (HP)
|
100% |
21194
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
13919
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33381
541.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
40867
662.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
30306
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
385871
450.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
930613
1.09 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312127
365.6 IPS |
|
|
Object Detection (SP)
|
100% |
21201
1.68 KIPS |
|
|
Object Detection (HP)
|
100% |
26252
2.08 KIPS |
|
|
Object Detection (Q)
|
85% |
18006
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
65877
782.8 IPS |
|
|
Face Detection (HP)
|
100% |
86386
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
53055
632.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
100201
772.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
177420
1.37 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71647
573.9 IPS |
|
|
Style Transfer (SP)
|
100% |
551553
709.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1514099
1.95 KIPS |
|
|
Style Transfer (Q)
|
98% |
451724
582.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64104
2.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83937
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47369
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3862
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4620
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2245
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
6572
113.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6592
113.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2942
55.2 IPS |
