ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
5621
Single Precision Score
8720
Half Precision Score
13126
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 08:42 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3865
718.8 IPS |
|
|
Image Classification (HP)
|
100% |
5750
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7661
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4128
66.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8862
143.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12268
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11548
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10770
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
34794
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
3583
284.2 IPS |
|
|
Object Detection (HP)
|
100% |
5583
442.8 IPS |
|
|
Object Detection (Q)
|
88% |
9035
724.0 IPS |
|
|
Face Detection (SP)
|
100% |
8242
97.9 IPS |
|
|
Face Detection (HP)
|
100% |
15578
185.1 IPS |
|
|
Face Detection (Q)
|
100% |
23394
278.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12348
95.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
21493
166.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24447
190.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28326
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39435
50.7 IPS |
|
|
Style Transfer (Q)
|
98% |
80755
104.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5098
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9063
334.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14328
530.6 IPS |
|
|
Text Classification (SP)
|
71% |
1509
2.18 KIPS |
|
|
Text Classification (HP)
|
71% |
2250
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
2537
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (HP)
|
96% |
3082
53.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3063
52.8 IPS |
