ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
6655
Single Precision Score
2428
Half Precision Score
9918
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 08:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
5074
943.6 IPS |
|
|
Image Classification (HP)
|
100% |
810
150.7 IPS |
|
|
Image Classification (Q)
|
99% |
9061
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4323
70.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13574
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7632
8.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
42619
50.0 IPS |
|
|
Object Detection (SP)
|
100% |
4768
378.2 IPS |
|
|
Object Detection (HP)
|
100% |
1072
85.0 IPS |
|
|
Object Detection (Q)
|
86% |
11611
933.1 IPS |
|
|
Face Detection (SP)
|
100% |
13754
163.4 IPS |
|
|
Face Detection (HP)
|
100% |
2546
30.3 IPS |
|
|
Face Detection (Q)
|
97% |
13781
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15312
118.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3337
25.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
24131
192.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31446
40.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19839
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25707
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5045
186.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3429
126.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6722
248.9 IPS |
|
|
Text Classification (SP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1770
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3152
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4674
93.9 IPS |
