ASUSTeK COMPUTER INC. NUC15CRHU7
Geekbench AI Score
9882
Single Precision Score
22141
Half Precision Score
27470
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Ricochet |
| Upload Date | November 18 2025 09:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (32GB) (iGPU) |
| 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% |
6487
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
11351
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
14912
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7840
127.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19824
321.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23811
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24305
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
88282
103.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
168189
196.9 IPS |
|
|
Object Detection (SP)
|
100% |
6374
505.6 IPS |
|
|
Object Detection (HP)
|
100% |
12675
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
15965
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
11194
133.0 IPS |
|
|
Face Detection (HP)
|
100% |
25356
301.3 IPS |
|
|
Face Detection (Q)
|
100% |
34810
413.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20154
155.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
45511
350.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
58056
451.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58942
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
149654
192.4 IPS |
|
|
Style Transfer (Q)
|
98% |
221494
285.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9408
347.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27926
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35361
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
2759
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2941
50.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6008
103.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5877
101.2 IPS |
