ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench AI Score
2843
Single Precision Score
1183
Half Precision Score
5229
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | fraludio |
| Upload Date | March 08 2025 10:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2149
399.6 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
99% |
4035
752.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2748
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4596
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
17801
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2172
172.3 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
86% |
4413
354.6 IPS |
|
|
Face Detection (SP)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (HP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
6826
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6188
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1752
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11788
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11279
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8414
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18719
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2049
75.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3350
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.2 IPS |
|
|
Text Classification (Q)
|
97% |
1536
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (Q)
|
65% |
2267
45.5 IPS |
