ASUS NUC 15 Pro - OpenVINO CPU ASUSTeK COMPUTER INC. NUC15CRHU7
Geekbench AI Score
5274
Single Precision Score
5479
Half Precision Score
12704
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | July 02 2025 12:18 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRHU7 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3592
668.1 IPS |
|
|
Image Classification (HP)
|
100% |
3911
727.3 IPS |
|
|
Image Classification (Q)
|
100% |
9015
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3937
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8593
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7315
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
6969
8.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
26161
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
2921
231.7 IPS |
|
|
Object Detection (HP)
|
100% |
3586
284.4 IPS |
|
|
Object Detection (Q)
|
88% |
9106
729.9 IPS |
|
|
Face Detection (SP)
|
100% |
8655
102.8 IPS |
|
|
Face Detection (HP)
|
100% |
10283
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
18027
214.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7569
58.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8396
64.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
21180
164.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19377
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19948
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
70120
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3916
144.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4568
168.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13562
502.2 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2580
3.44 KIPS |
|
|
Text Classification (Q)
|
92% |
4979
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5090
87.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3284
56.6 IPS |
