ASUS System Product Name
Geekbench AI Score
6418
Single Precision Score
10288
Half Precision Score
15653
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 01 2026 08:30 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890M-PLUS WIFI |
| Power Plan | Prestazioni elevate |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4053
753.7 IPS |
|
|
Image Classification (HP)
|
100% |
7252
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10198
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5183
84.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3610
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7514
8.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
35413
41.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
76873
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
3514
278.8 IPS |
|
|
Object Detection (HP)
|
100% |
6221
493.4 IPS |
|
|
Object Detection (Q)
|
87% |
10200
818.6 IPS |
|
|
Face Detection (SP)
|
100% |
11611
138.0 IPS |
|
|
Face Detection (HP)
|
100% |
18224
216.5 IPS |
|
|
Face Detection (Q)
|
100% |
34013
404.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9314
71.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19110
147.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
35363
275.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23138
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55631
71.5 IPS |
|
|
Style Transfer (Q)
|
98% |
100836
130.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4715
174.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14546
537.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24337
901.3 IPS |
|
|
Text Classification (SP)
|
100% |
3771
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2208
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4811
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4638
79.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4696
80.9 IPS |
