ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
27343
Single Precision Score
47193
Half Precision Score
21232
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 12:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15JNKU9X9 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15JNBU9X9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
11523
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
19554
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
10359
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17962
291.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25186
408.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16468
267.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
154964
180.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
431892
503.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
140771
164.9 IPS |
|
|
Object Detection (SP)
|
100% |
14159
1.12 KIPS |
|
|
Object Detection (HP)
|
100% |
23498
1.86 KIPS |
|
|
Object Detection (Q)
|
86% |
12202
980.3 IPS |
|
|
Face Detection (SP)
|
100% |
38732
460.2 IPS |
|
|
Face Detection (HP)
|
100% |
56085
666.4 IPS |
|
|
Face Detection (Q)
|
97% |
32821
391.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
68668
529.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
132217
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
53644
428.5 IPS |
|
|
Style Transfer (SP)
|
100% |
248603
319.6 IPS |
|
|
Style Transfer (HP)
|
100% |
814613
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
204981
264.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39262
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69004
2.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31552
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3721
4.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4874
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2209
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5325
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5397
93.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2526
47.4 IPS |
