ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
8973
Single Precision Score
9960
Half Precision Score
15303
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 08:44 PM |
| Views | 10 |
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 | 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% |
5639
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
6992
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
9654
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8042
130.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3925
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13228
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34036
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
74878
87.7 IPS |
|
|
Object Detection (SP)
|
100% |
5506
436.7 IPS |
|
|
Object Detection (HP)
|
100% |
6169
489.3 IPS |
|
|
Object Detection (Q)
|
87% |
10119
812.1 IPS |
|
|
Face Detection (SP)
|
100% |
15292
181.7 IPS |
|
|
Face Detection (HP)
|
100% |
16908
200.9 IPS |
|
|
Face Detection (Q)
|
100% |
28883
343.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13979
107.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18955
146.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
34928
271.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35750
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53237
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
97867
126.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7901
291.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14349
529.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26261
972.5 IPS |
|
|
Text Classification (SP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2072
2.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2119
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4427
76.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4467
77.0 IPS |
