ASUS System Product Name
Geekbench AI Score
5634
Single Precision Score
2172
Half Precision Score
10339
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 07:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | High 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4771
887.2 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.2 IPS |
|
|
Image Classification (Q)
|
99% |
9370
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15716
255.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11722
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
6159
7.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
38659
45.3 IPS |
|
|
Object Detection (SP)
|
100% |
3986
316.2 IPS |
|
|
Object Detection (HP)
|
100% |
941
74.6 IPS |
|
|
Object Detection (Q)
|
86% |
9226
741.5 IPS |
|
|
Face Detection (SP)
|
100% |
11828
140.5 IPS |
|
|
Face Detection (HP)
|
100% |
2221
26.4 IPS |
|
|
Face Detection (Q)
|
97% |
13948
166.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10629
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2843
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19669
157.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27904
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15288
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25788
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4013
148.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2884
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6477
239.8 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2536
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3672
73.8 IPS |
