ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
8872
Single Precision Score
9011
Half Precision Score
16318
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 08:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
5615
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
6455
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
10196
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7713
125.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4488
72.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12770
207.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12559
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12853
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31375
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
5438
431.3 IPS |
|
|
Object Detection (HP)
|
100% |
6585
522.3 IPS |
|
|
Object Detection (Q)
|
88% |
11217
899.2 IPS |
|
|
Face Detection (SP)
|
100% |
15758
187.2 IPS |
|
|
Face Detection (HP)
|
100% |
19506
231.8 IPS |
|
|
Face Detection (Q)
|
100% |
28873
343.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13523
104.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15304
117.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
29329
228.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35470
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25093
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
90207
116.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8008
295.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7965
294.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16626
615.7 IPS |
|
|
Text Classification (SP)
|
100% |
4108
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (Q)
|
92% |
5789
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7633
131.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3974
68.5 IPS |
