ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
3897
Single Precision Score
5399
Half Precision Score
2697
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 08:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
2693
500.9 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.3 IPS |
|
|
Image Classification (Q)
|
99% |
1889
352.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5045
81.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1513
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9341
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15672
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
8080
9.47 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.5 IPS |
|
|
Object Detection (HP)
|
99% |
3433
273.1 IPS |
|
|
Object Detection (Q)
|
85% |
1996
160.6 IPS |
|
|
Face Detection (SP)
|
100% |
4992
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
5630
66.9 IPS |
|
|
Face Detection (Q)
|
97% |
3340
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7802
60.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13372
103.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
5905
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24944
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37120
47.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19327
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4397
162.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6830
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2994
110.9 IPS |
|
|
Text Classification (SP)
|
86% |
739
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
615
821.5 IPS |
|
|
Text Classification (Q)
|
84% |
456
619.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1954
33.7 IPS |
|
|
Machine Translation (Q)
|
70% |
849
15.9 IPS |
