ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench AI Score
7740
Single Precision Score
11863
Half Precision Score
17302
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fraludio |
| Upload Date | March 08 2025 10:28 PM |
| Views | 5 |
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. NUC14RVS-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVS |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5370
998.7 IPS |
|
|
Image Classification (HP)
|
100% |
7744
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
9009
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4507
73.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10560
171.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15194
246.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
21857
25.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
19549
22.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62061
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
5068
402.0 IPS |
|
|
Object Detection (HP)
|
100% |
8003
634.8 IPS |
|
|
Object Detection (Q)
|
88% |
11405
913.9 IPS |
|
|
Face Detection (SP)
|
100% |
8923
106.0 IPS |
|
|
Face Detection (HP)
|
100% |
17957
213.4 IPS |
|
|
Face Detection (Q)
|
100% |
29056
345.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18671
143.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
32410
250.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
36624
284.7 IPS |
|
|
Style Transfer (SP)
|
100% |
50603
65.1 IPS |
|
|
Style Transfer (HP)
|
100% |
67041
86.2 IPS |
|
|
Style Transfer (Q)
|
98% |
149701
193.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8579
316.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15104
557.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20929
775.1 IPS |
|
|
Text Classification (SP)
|
71% |
1682
2.43 KIPS |
|
|
Text Classification (HP)
|
71% |
2385
3.45 KIPS |
|
|
Text Classification (Q)
|
92% |
2456
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2367
40.8 IPS |
|
|
Machine Translation (HP)
|
96% |
3072
53.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3031
52.2 IPS |
