ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
8279
Single Precision Score
8733
Half Precision Score
13356
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 12:03 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15JNKU9X9 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15JNBU9X9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
5692
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
5418
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
8785
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7151
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2572
41.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13364
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33055
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
69571
81.5 IPS |
|
|
Object Detection (SP)
|
100% |
5069
402.1 IPS |
|
|
Object Detection (HP)
|
100% |
5230
414.9 IPS |
|
|
Object Detection (Q)
|
87% |
8632
692.8 IPS |
|
|
Face Detection (SP)
|
100% |
14947
177.6 IPS |
|
|
Face Detection (HP)
|
100% |
14400
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
23531
279.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14418
111.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17075
131.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
31446
244.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37813
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50085
64.4 IPS |
|
|
Style Transfer (Q)
|
98% |
93170
120.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8028
296.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13441
496.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22800
844.4 IPS |
|
|
Text Classification (SP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2090
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2026
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3083
53.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3114
53.6 IPS |
