ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
28951
Single Precision Score
50926
Half Precision Score
22406
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 20 2025 04:48 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% |
11439
2.13 KIPS |
|
|
Image Classification (HP)
|
100% |
19512
3.63 KIPS |
|
|
Image Classification (Q)
|
100% |
10340
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22228
360.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
33561
544.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19800
322.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
159644
186.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
451727
527.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
145342
170.2 IPS |
|
|
Object Detection (SP)
|
100% |
14661
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
24763
1.96 KIPS |
|
|
Object Detection (Q)
|
86% |
12445
999.8 IPS |
|
|
Face Detection (SP)
|
100% |
43064
511.7 IPS |
|
|
Face Detection (HP)
|
100% |
65273
775.6 IPS |
|
|
Face Detection (Q)
|
97% |
36391
433.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
69790
537.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
135511
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54466
435.1 IPS |
|
|
Style Transfer (SP)
|
100% |
253404
325.8 IPS |
|
|
Style Transfer (HP)
|
100% |
840145
1.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
216145
278.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39383
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69441
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31793
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3657
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2205
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
6338
109.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6377
109.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2868
53.8 IPS |
