ASUSTeK COMPUTER INC. NUC14RVH-B
Geekbench AI Score
2333
Single Precision Score
2293
Half Precision Score
5098
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | alexhu |
| Upload Date | April 19 2026 12:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165H |
| 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% |
1325
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
1071
199.2 IPS |
|
|
Image Classification (Q)
|
100% |
2911
541.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4113
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3167
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3135
3.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
11983
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
100% |
1250
99.2 IPS |
|
|
Object Detection (Q)
|
88% |
2787
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
4049
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
7445
88.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3562
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3568
27.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
8176
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9793
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9413
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27164
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1567
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5671
210.0 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1404
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
2451
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1292
22.3 IPS |
