ASUSTeK COMPUTER INC. NUC15CRHU7
Geekbench AI Score
3117
Single Precision Score
9447
Half Precision Score
14410
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Ricochet |
| Upload Date | November 18 2025 09:48 PM |
| Views | 8 |
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. NUC15CRHU7 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU7 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
6497
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
8917
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2700
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2777
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3348
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4588
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
33344
38.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
69543
81.5 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.7 IPS |
|
|
Object Detection (HP)
|
100% |
5486
435.2 IPS |
|
|
Object Detection (Q)
|
88% |
9534
764.3 IPS |
|
|
Face Detection (SP)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
14631
173.8 IPS |
|
|
Face Detection (Q)
|
100% |
29076
345.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4719
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18090
139.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
33499
260.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13163
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53356
68.6 IPS |
|
|
Style Transfer (Q)
|
98% |
96408
124.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15253
563.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28894
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
1805
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1641
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4381
75.5 IPS |
