Archimonde ASUSTeK COMPUTER INC. NUC15CRSU9
Geekbench AI Score
4266
Single Precision Score
1798
Half Precision Score
7672
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Geeooff |
| Upload Date | June 12 2025 10:26 PM |
| Views | 7 |
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 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3188
592.8 IPS |
|
|
Image Classification (HP)
|
100% |
628
116.8 IPS |
|
|
Image Classification (Q)
|
99% |
7836
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3702
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7164
8.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
5076
5.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
23599
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2942
233.4 IPS |
|
|
Object Detection (HP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (Q)
|
86% |
7882
633.4 IPS |
|
|
Face Detection (SP)
|
100% |
8668
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
10063
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8792
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2576
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16136
128.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17056
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12348
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24616
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2934
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2326
85.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4809
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
1687
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1695
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4019
80.8 IPS |
