ASUSTeK COMPUTER INC. NUC14RVK-B
Geekbench AI Score
2666
Single Precision Score
2631
Half Precision Score
6340
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 01:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVK-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.7 IPS |
|
|
Image Classification (HP)
|
100% |
1451
269.8 IPS |
|
|
Image Classification (Q)
|
100% |
4809
894.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4307
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3597
4.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3667
4.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
13829
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (Q)
|
88% |
4477
358.9 IPS |
|
|
Face Detection (SP)
|
100% |
3859
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
9302
110.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4085
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4136
31.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10161
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10597
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10342
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29991
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7058
261.4 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3307
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1846
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1238
21.3 IPS |
