ASUSTeK COMPUTER INC. NUC15CRSU9
Geekbench AI Score
4627
Single Precision Score
1886
Half Precision Score
8417
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 08:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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% |
3232
601.0 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.0 IPS |
|
|
Image Classification (Q)
|
99% |
7421
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1250
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9817
159.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8016
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
5430
6.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
27282
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
3179
252.1 IPS |
|
|
Object Detection (HP)
|
100% |
858
68.1 IPS |
|
|
Object Detection (Q)
|
86% |
8842
710.7 IPS |
|
|
Face Detection (SP)
|
100% |
10061
119.5 IPS |
|
|
Face Detection (HP)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
10920
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10311
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2439
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
17468
139.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19213
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13346
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25636
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3125
115.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2316
85.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.5 IPS |
|
|
Text Classification (SP)
|
100% |
1682
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1545
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3008
60.4 IPS |
