ASUSTeK COMPUTER INC. NUC15CRSU9
Geekbench AI Score
4913
Single Precision Score
6336
Half Precision Score
3243
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 05 2026 10:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3323
618.0 IPS |
|
|
Image Classification (HP)
|
100% |
4205
782.0 IPS |
|
|
Image Classification (Q)
|
99% |
2705
504.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5865
95.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1484
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14100
16.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
17927
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11795
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
3495
277.2 IPS |
|
|
Object Detection (HP)
|
99% |
4357
346.6 IPS |
|
|
Object Detection (Q)
|
85% |
2031
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
4932
58.6 IPS |
|
|
Face Detection (Q)
|
97% |
2516
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12192
93.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
17326
133.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
8985
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43774
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
57308
73.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27024
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7369
272.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10449
385.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3969
147.0 IPS |
|
|
Text Classification (SP)
|
86% |
727
983.0 IPS |
|
|
Text Classification (HP)
|
99% |
588
785.1 IPS |
|
|
Text Classification (Q)
|
84% |
555
753.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (Q)
|
70% |
997
18.7 IPS |
