ASUS System Product Name
Geekbench AI Score
7187
Single Precision Score
10363
Half Precision Score
15845
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 06 2025 05:21 AM |
| 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% |
4390
816.3 IPS |
|
|
Image Classification (HP)
|
100% |
7359
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
10674
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5766
93.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3576
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8497
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
35110
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75451
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
4107
325.8 IPS |
|
|
Object Detection (HP)
|
100% |
6261
496.6 IPS |
|
|
Object Detection (Q)
|
87% |
10345
830.2 IPS |
|
|
Face Detection (SP)
|
100% |
13129
156.0 IPS |
|
|
Face Detection (HP)
|
100% |
18194
216.2 IPS |
|
|
Face Detection (Q)
|
100% |
34545
410.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10769
83.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19803
152.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
36872
286.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24992
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
56285
72.4 IPS |
|
|
Style Transfer (Q)
|
98% |
102246
131.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5194
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14614
539.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24327
900.9 IPS |
|
|
Text Classification (SP)
|
100% |
4225
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2205
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2212
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5373
92.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4780
82.3 IPS |
