ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
28872
Single Precision Score
50660
Half Precision Score
22392
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 20 2025 04:46 PM |
| Views | 2 |
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 | 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% |
11414
2.12 KIPS |
|
|
Image Classification (HP)
|
100% |
19358
3.60 KIPS |
|
|
Image Classification (Q)
|
100% |
10276
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22358
362.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
33649
545.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19918
323.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
157982
184.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
446353
520.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
144328
169.1 IPS |
|
|
Object Detection (SP)
|
100% |
14480
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
24519
1.94 KIPS |
|
|
Object Detection (Q)
|
86% |
12266
985.5 IPS |
|
|
Face Detection (SP)
|
100% |
42836
509.0 IPS |
|
|
Face Detection (HP)
|
100% |
64323
764.3 IPS |
|
|
Face Detection (Q)
|
97% |
36303
432.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
68921
531.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
133022
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54648
436.6 IPS |
|
|
Style Transfer (SP)
|
100% |
248944
320.0 IPS |
|
|
Style Transfer (HP)
|
100% |
837468
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
216708
279.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39391
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68830
2.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31683
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4892
6.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2228
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6409
110.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6474
111.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2882
54.0 IPS |
