ASUSTeK COMPUTER INC. NUC15CRSU9
Geekbench AI Score
5258
Single Precision Score
9515
Half Precision Score
14627
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3586
667.0 IPS |
|
|
Image Classification (HP)
|
100% |
6664
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9132
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4142
67.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3886
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7041
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
33573
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74416
87.2 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
5933
470.6 IPS |
|
|
Object Detection (Q)
|
87% |
9928
796.8 IPS |
|
|
Face Detection (SP)
|
100% |
8461
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
16294
193.6 IPS |
|
|
Face Detection (Q)
|
100% |
27168
322.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7609
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
18000
138.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33731
262.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21435
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49982
64.3 IPS |
|
|
Style Transfer (Q)
|
98% |
91190
117.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14069
519.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25059
928.0 IPS |
|
|
Text Classification (SP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
2025
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4068
70.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4033
69.5 IPS |
