ASUSTeK COMPUTER INC. NUC15JNKU9X9
Geekbench AI Score
28133
Single Precision Score
48537
Half Precision Score
21609
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | June 19 2025 08:31 PM |
| Views | 6 |
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% |
11117
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
18713
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
9944
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21890
354.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
32677
529.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19573
318.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
154885
180.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
430661
502.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
141370
165.6 IPS |
|
|
Object Detection (SP)
|
100% |
14376
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
24135
1.91 KIPS |
|
|
Object Detection (Q)
|
86% |
11798
947.9 IPS |
|
|
Face Detection (SP)
|
100% |
42147
500.8 IPS |
|
|
Face Detection (HP)
|
100% |
62381
741.2 IPS |
|
|
Face Detection (Q)
|
97% |
35476
423.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
68035
524.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
120653
929.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
52792
421.7 IPS |
|
|
Style Transfer (SP)
|
100% |
246033
316.3 IPS |
|
|
Style Transfer (HP)
|
100% |
813387
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
210430
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38906
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67663
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30850
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4392
5.86 KIPS |
|
|
Text Classification (Q)
|
97% |
2044
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6114
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6276
108.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2753
51.6 IPS |
