ASUS System Product Name
Geekbench AI Score
7685
Single Precision Score
10684
Half Precision Score
16423
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | November 17 2025 05:14 AM |
| Views | 8 |
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% |
4698
873.6 IPS |
|
|
Image Classification (HP)
|
100% |
7472
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10905
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6039
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8777
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35607
41.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
76782
89.9 IPS |
|
|
Object Detection (SP)
|
100% |
4548
360.8 IPS |
|
|
Object Detection (HP)
|
100% |
6447
511.4 IPS |
|
|
Object Detection (Q)
|
87% |
10684
857.4 IPS |
|
|
Face Detection (SP)
|
100% |
14027
166.7 IPS |
|
|
Face Detection (HP)
|
100% |
18916
224.8 IPS |
|
|
Face Detection (Q)
|
100% |
35931
426.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11688
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19923
153.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
37310
290.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27135
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
57865
74.4 IPS |
|
|
Style Transfer (Q)
|
98% |
105581
136.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15136
558.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25599
948.0 IPS |
|
|
Text Classification (SP)
|
100% |
4278
5.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (Q)
|
92% |
2460
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5843
100.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4814
82.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4933
85.0 IPS |
