ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench AI Score
2706
Single Precision Score
2843
Half Precision Score
6637
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fraludio |
| Upload Date | March 08 2025 10:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| 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% |
1338
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (Q)
|
100% |
3706
689.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3646
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
4767
5.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
16703
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (Q)
|
88% |
3602
288.7 IPS |
|
|
Face Detection (SP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
4351
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
8616
102.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4422
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4377
33.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10276
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11774
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14060
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45071
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2366
87.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2369
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7339
271.8 IPS |
|
|
Text Classification (SP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2882
3.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2450
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2419
41.7 IPS |
