ASUSTeK COMPUTER INC. NUC14RVH-B
Geekbench AI Score
7601
Single Precision Score
11853
Half Precision Score
17612
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alexhu |
| Upload Date | April 19 2026 12:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5276
981.1 IPS |
|
|
Image Classification (HP)
|
100% |
7832
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
9024
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4459
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11983
194.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17102
277.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19882
23.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
19995
23.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
70443
82.5 IPS |
|
|
Object Detection (SP)
|
100% |
4990
395.8 IPS |
|
|
Object Detection (HP)
|
100% |
7981
633.1 IPS |
|
|
Object Detection (Q)
|
88% |
11655
934.0 IPS |
|
|
Face Detection (SP)
|
100% |
8686
103.2 IPS |
|
|
Face Detection (HP)
|
100% |
17726
210.6 IPS |
|
|
Face Detection (Q)
|
100% |
28547
339.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18907
145.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
29203
225.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
29092
226.1 IPS |
|
|
Style Transfer (SP)
|
100% |
50781
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
66392
85.3 IPS |
|
|
Style Transfer (Q)
|
98% |
175879
226.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8285
305.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13580
501.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22136
819.8 IPS |
|
|
Text Classification (SP)
|
71% |
1482
2.14 KIPS |
|
|
Text Classification (HP)
|
71% |
2416
3.50 KIPS |
|
|
Text Classification (Q)
|
92% |
2047
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2694
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3244
56.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3425
59.2 IPS |
