ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
8955
Single Precision Score
9032
Half Precision Score
16399
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 08:30 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15JNKU9X9 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15JNBU9X9 |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5725
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
6506
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
10205
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7728
125.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4596
74.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13114
212.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13138
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12388
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32011
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
5503
436.5 IPS |
|
|
Object Detection (HP)
|
100% |
6263
496.8 IPS |
|
|
Object Detection (Q)
|
88% |
11221
899.5 IPS |
|
|
Face Detection (SP)
|
100% |
15752
187.2 IPS |
|
|
Face Detection (HP)
|
100% |
19255
228.8 IPS |
|
|
Face Detection (Q)
|
100% |
29111
345.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13371
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15657
120.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
30170
234.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37120
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28861
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
88980
114.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8040
296.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7748
286.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16595
614.6 IPS |
|
|
Text Classification (SP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (Q)
|
92% |
5768
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4020
69.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7294
125.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3914
67.4 IPS |
