ASUSTeK COMPUTER INC. NUC15CRHU5
Geekbench AI Score
9624
Single Precision Score
20976
Half Precision Score
26330
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bryansam |
| Upload Date | June 19 2025 01:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130T GPU (32GB) (iGPU) |
| 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% |
6594
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
10575
1.97 KIPS |
|
|
Image Classification (Q)
|
100% |
14359
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7911
128.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20036
324.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23330
378.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21634
25.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
89338
104.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
166422
194.8 IPS |
|
|
Object Detection (SP)
|
100% |
6440
510.8 IPS |
|
|
Object Detection (HP)
|
100% |
12246
971.3 IPS |
|
|
Object Detection (Q)
|
88% |
15461
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
11010
130.8 IPS |
|
|
Face Detection (HP)
|
100% |
22243
264.3 IPS |
|
|
Face Detection (Q)
|
100% |
30290
359.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20934
161.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39416
303.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
53065
412.5 IPS |
|
|
Style Transfer (SP)
|
100% |
53684
69.0 IPS |
|
|
Style Transfer (HP)
|
100% |
145161
186.6 IPS |
|
|
Style Transfer (Q)
|
98% |
221081
285.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9010
332.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27151
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34157
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3910
5.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2901
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5267
90.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5277
90.9 IPS |
