ASUSTeK COMPUTER INC. NUC15CRHU5
Geekbench AI Score
4209
Single Precision Score
1772
Half Precision Score
7048
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bryansam |
| Upload Date | June 19 2025 12:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRHU5 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3179
591.3 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
99% |
7405
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2808
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7018
8.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
5334
6.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
23670
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (HP)
|
100% |
787
62.4 IPS |
|
|
Object Detection (Q)
|
86% |
6484
521.1 IPS |
|
|
Face Detection (SP)
|
100% |
8069
95.9 IPS |
|
|
Face Detection (HP)
|
100% |
1923
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
9570
114.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9369
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2542
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
16852
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16687
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12960
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24642
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3085
113.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2416
89.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4411
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1632
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2403
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3314
66.6 IPS |
