ASUS System Product Name
Geekbench AI Score
7513
Single Precision Score
10696
Half Precision Score
16429
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | November 21 2025 12:39 PM |
| 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% |
4662
866.9 IPS |
|
|
Image Classification (HP)
|
100% |
7632
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
10898
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6051
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2905
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8773
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
35530
41.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
76957
90.1 IPS |
|
|
Object Detection (SP)
|
100% |
4259
337.9 IPS |
|
|
Object Detection (HP)
|
100% |
6451
511.7 IPS |
|
|
Object Detection (Q)
|
87% |
10730
861.2 IPS |
|
|
Face Detection (SP)
|
100% |
13432
159.6 IPS |
|
|
Face Detection (HP)
|
100% |
18921
224.8 IPS |
|
|
Face Detection (Q)
|
100% |
35933
427.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11325
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19941
153.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
37315
290.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26356
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
57951
74.5 IPS |
|
|
Style Transfer (Q)
|
98% |
105841
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5647
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15140
559.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25577
947.2 IPS |
|
|
Text Classification (SP)
|
100% |
4308
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
2458
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5575
96.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4756
81.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4914
84.6 IPS |
