ASUS System Product Name
Geekbench AI Score
7263
Single Precision Score
10419
Half Precision Score
15926
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 04:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
4326
804.5 IPS |
|
|
Image Classification (HP)
|
100% |
7461
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
10532
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5815
94.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8359
9.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
35319
41.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
76847
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
4190
332.4 IPS |
|
|
Object Detection (HP)
|
100% |
6275
497.8 IPS |
|
|
Object Detection (Q)
|
87% |
10419
836.2 IPS |
|
|
Face Detection (SP)
|
100% |
13151
156.3 IPS |
|
|
Face Detection (HP)
|
100% |
18259
217.0 IPS |
|
|
Face Detection (Q)
|
100% |
34789
413.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10655
82.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19581
150.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
36401
283.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25574
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56166
72.2 IPS |
|
|
Style Transfer (Q)
|
98% |
102881
132.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14617
539.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24437
905.0 IPS |
|
|
Text Classification (SP)
|
100% |
4188
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2236
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5804
100.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4715
81.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4848
83.5 IPS |
