ASUSTeK COMPUTER INC. NUC15CRHU7
Geekbench AI Score
17100
Single Precision Score
22073
Half Precision Score
14742
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Ricochet |
| Upload Date | October 25 2025 09:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| 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(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6156
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
7564
1.41 KIPS |
|
|
Image Classification (Q)
|
100% |
5750
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7986
129.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8880
144.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7862
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
155471
181.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
309590
361.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
139474
163.4 IPS |
|
|
Object Detection (SP)
|
100% |
7562
599.8 IPS |
|
|
Object Detection (HP)
|
100% |
8747
693.9 IPS |
|
|
Object Detection (Q)
|
85% |
6998
562.9 IPS |
|
|
Face Detection (SP)
|
100% |
19002
225.8 IPS |
|
|
Face Detection (HP)
|
100% |
20636
245.2 IPS |
|
|
Face Detection (Q)
|
97% |
17532
209.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
55328
426.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79714
615.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
46601
372.6 IPS |
|
|
Style Transfer (SP)
|
100% |
246656
317.1 IPS |
|
|
Style Transfer (HP)
|
100% |
437577
562.5 IPS |
|
|
Style Transfer (Q)
|
98% |
224362
289.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30914
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38672
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25357
938.9 IPS |
|
|
Text Classification (SP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (HP)
|
99% |
2487
3.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1583
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2135
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1494
28.0 IPS |
