ASUS System Product Name
Geekbench AI Score
7532
Single Precision Score
2740
Half Precision Score
12074
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Americanrust |
| Upload Date | October 02 2025 08:53 AM |
| Views | 9 |
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. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6122
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
946
175.9 IPS |
|
|
Image Classification (Q)
|
99% |
9710
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17556
285.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16347
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8829
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
55743
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
5695
451.7 IPS |
|
|
Object Detection (HP)
|
100% |
1270
100.7 IPS |
|
|
Object Detection (Q)
|
86% |
13056
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
16978
201.7 IPS |
|
|
Face Detection (HP)
|
100% |
2722
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
14516
173.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17650
136.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3830
29.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
26350
210.3 IPS |
|
|
Style Transfer (SP)
|
100% |
37958
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22427
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25544
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4538
167.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3354
123.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6555
242.7 IPS |
|
|
Text Classification (SP)
|
100% |
1912
2.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1752
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1625
28.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4733
95.1 IPS |
