ASUS System Product Name
Geekbench AI Score
7626
Single Precision Score
9685
Half Precision Score
20505
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 06 2025 08:21 PM |
| Views | 3 |
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% |
4634
861.8 IPS |
|
|
Image Classification (HP)
|
100% |
9599
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
13672
2.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5923
96.0 IPS |
|
|
Image Segmentation (HP)
|
99% |
3714
60.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4578
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8941
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
45223
52.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
97669
114.4 IPS |
|
|
Object Detection (SP)
|
100% |
4434
351.7 IPS |
|
|
Object Detection (HP)
|
100% |
8146
646.1 IPS |
|
|
Object Detection (Q)
|
87% |
13652
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
13859
164.7 IPS |
|
|
Face Detection (HP)
|
100% |
23221
275.9 IPS |
|
|
Face Detection (Q)
|
100% |
45202
537.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11478
88.4 IPS |
|
|
Depth Estimation (HP)
|
24% |
1000
182.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
45110
351.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26659
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
68431
88.0 IPS |
|
|
Style Transfer (Q)
|
98% |
127769
164.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5606
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19391
716.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32319
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4283
5.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (Q)
|
92% |
3027
4.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6006
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5918
101.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6180
106.4 IPS |
