ASUSTeK COMPUTER INC. NUC14RVH-B
Geekbench AI Score
2497
Single Precision Score
8888
Half Precision Score
13925
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alexhu |
| Upload Date | April 18 2026 10:35 PM |
| Views | 5 |
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. NUC14RVH-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
5987
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8692
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3037
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3503
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
29820
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
66366
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
100% |
5291
419.7 IPS |
|
|
Object Detection (Q)
|
88% |
9112
730.5 IPS |
|
|
Face Detection (SP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
15434
183.4 IPS |
|
|
Face Detection (Q)
|
100% |
29325
348.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3849
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16652
128.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
30586
238.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10145
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48605
62.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88884
114.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14164
523.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27051
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1846
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1943
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4099
70.6 IPS |
