ASUS System Product Name
Geekbench AI Score
7469
Single Precision Score
10523
Half Precision Score
16653
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 23 2025 12:15 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% |
4524
841.4 IPS |
|
|
Image Classification (HP)
|
100% |
7195
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10763
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5837
94.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2840
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3531
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8843
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34745
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73805
86.5 IPS |
|
|
Object Detection (SP)
|
100% |
4392
348.4 IPS |
|
|
Object Detection (HP)
|
100% |
6179
490.1 IPS |
|
|
Object Detection (Q)
|
88% |
10944
877.4 IPS |
|
|
Face Detection (SP)
|
100% |
13620
161.8 IPS |
|
|
Face Detection (HP)
|
100% |
18031
214.2 IPS |
|
|
Face Detection (Q)
|
100% |
35834
425.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11132
85.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19289
148.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
37009
288.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26200
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
56618
72.8 IPS |
|
|
Style Transfer (Q)
|
98% |
101017
130.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5431
200.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16612
613.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33201
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4219
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2419
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5792
99.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4903
84.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4967
85.6 IPS |
