ASUS System Product Name
Geekbench AI Score
7550
Single Precision Score
2859
Half Precision Score
12825
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 23 2025 12:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6064
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
953
177.2 IPS |
|
|
Image Classification (Q)
|
99% |
10602
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17912
291.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15571
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9135
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
51347
60.2 IPS |
|
|
Object Detection (SP)
|
100% |
5683
450.8 IPS |
|
|
Object Detection (HP)
|
100% |
1260
100.0 IPS |
|
|
Object Detection (Q)
|
86% |
12859
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
17213
204.5 IPS |
|
|
Face Detection (HP)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
14364
171.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17712
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3876
29.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
27877
222.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35369
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22891
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38050
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5499
203.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7229
267.7 IPS |
|
|
Text Classification (SP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1141
1.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1861
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3366
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4687
94.2 IPS |
