ASUSTeK COMPUTER INC. NUC15CRHU5
Geekbench AI Score
3214
Single Precision Score
1124
Half Precision Score
3784
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 01 2026 08:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRHU5 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU5 |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2392
444.8 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
96% |
2535
473.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
712
11.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
4563
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5602
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2251
2.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
11481
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (Q)
|
58% |
2270
248.0 IPS |
|
|
Face Detection (SP)
|
100% |
6697
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (Q)
|
96% |
7241
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7075
54.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1626
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8037
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13386
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6321
8.13 IPS |
|
|
Style Transfer (Q)
|
87% |
15755
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2309
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3032
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
493
658.7 IPS |
|
|
Text Classification (Q)
|
97% |
468
627.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1537
29.7 IPS |
