ASUS System Product Name
Geekbench AI Score
7630
Single Precision Score
10328
Half Precision Score
16013
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 04 2025 05:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
4592
854.1 IPS |
|
|
Image Classification (HP)
|
100% |
7181
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10599
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6058
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8975
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34498
40.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
72958
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
4490
356.2 IPS |
|
|
Object Detection (HP)
|
100% |
6268
497.1 IPS |
|
|
Object Detection (Q)
|
87% |
10500
842.7 IPS |
|
|
Face Detection (SP)
|
100% |
13863
164.7 IPS |
|
|
Face Detection (HP)
|
100% |
18169
215.9 IPS |
|
|
Face Detection (Q)
|
100% |
35543
422.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11499
88.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18783
144.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
36506
284.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26554
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55100
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
100997
130.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5634
208.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15085
557.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25101
929.6 IPS |
|
|
Text Classification (SP)
|
100% |
4267
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2414
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5864
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4609
79.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4796
82.6 IPS |
