ASUS System Product Name
Geekbench AI Score
4250
Single Precision Score
1723
Half Precision Score
7868
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 05:34 PM |
| Views | 1 |
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. TUF GAMING Z890-PLUS 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2785
518.0 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.2 IPS |
|
|
Image Classification (Q)
|
99% |
7298
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10977
178.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10118
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5614
6.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
28534
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3234
256.5 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
86% |
6905
554.9 IPS |
|
|
Face Detection (SP)
|
100% |
7996
95.0 IPS |
|
|
Face Detection (HP)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
9366
111.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8203
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2472
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14597
116.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20693
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13580
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21387
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3235
119.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2161
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5555
205.7 IPS |
|
|
Text Classification (SP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1409
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2517
50.6 IPS |
