ASUSTeK COMPUTER INC. NUC15CRSU9
Geekbench AI Score
5162
Single Precision Score
1991
Half Precision Score
8578
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 11:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRSU9 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3860
717.9 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (Q)
|
99% |
8918
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1342
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3859
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9101
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6359
7.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
31550
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
3803
301.7 IPS |
|
|
Object Detection (HP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (Q)
|
86% |
9009
724.0 IPS |
|
|
Face Detection (SP)
|
100% |
10094
119.9 IPS |
|
|
Face Detection (HP)
|
100% |
2142
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
11181
133.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11340
87.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2409
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18341
146.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21352
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14452
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26562
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3773
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5380
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
899
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1758
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4281
86.0 IPS |
