Archimonde ASUSTeK COMPUTER INC. NUC15CRSU9
Geekbench AI Score
5115
Single Precision Score
9463
Half Precision Score
14373
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Geeooff |
| Upload Date | June 12 2025 10:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
3297
613.1 IPS |
|
|
Image Classification (HP)
|
100% |
6592
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9198
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3880
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2699
43.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3445
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6678
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
34147
39.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75455
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
2785
220.9 IPS |
|
|
Object Detection (HP)
|
100% |
5782
458.6 IPS |
|
|
Object Detection (Q)
|
87% |
9737
781.5 IPS |
|
|
Face Detection (SP)
|
100% |
8311
98.8 IPS |
|
|
Face Detection (HP)
|
100% |
16815
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
30552
363.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7717
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18107
139.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
33037
257.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19165
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52591
67.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96050
123.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3706
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13969
515.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23598
873.9 IPS |
|
|
Text Classification (SP)
|
100% |
3130
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1852
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1799
2.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3928
67.7 IPS |
