ASUSTeK COMPUTER INC. NUC15CRSU9
Geekbench ML Score
3840
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 03 2025 02:54 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 |
| L1 Instruction Cache | 64.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 3.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1859
347.8 IPS |
|
|
Image Classification (F16)
|
100% |
1747
326.9 IPS |
|
|
Image Classification (I8)
|
99% |
3443
644.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1672
27.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1707
28.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3133
52.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7045
8.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
6562
7.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
23129
28.0 IPS |
|
|
Object Detection (F32)
|
100% |
1890
141.1 IPS |
|
|
Object Detection (F16)
|
100% |
2039
152.2 IPS |
|
|
Object Detection (I8)
|
62% |
1712
127.8 IPS |
|
|
Face Detection (F32)
|
100% |
4152
49.4 IPS |
|
|
Face Detection (F16)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (I8)
|
89% |
4483
53.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7742
60.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
7698
59.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14366
111.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15596
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
15804
20.8 IPS |
|
|
Style Transfer (I8)
|
98% |
22466
29.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3326
118.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3038
108.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5170
184.6 IPS |
|
|
Text Classification (F32)
|
100% |
1203
1.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1246
1.79 KIPS |
|
|
Text Classification (I8)
|
98% |
1132
1.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
2056
37.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2045
37.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3570
65.7 IPS |
