ASUSTeK COMPUTER INC. NUC14RVH-B
Geekbench AI Score
3163
Single Precision Score
1238
Half Precision Score
6121
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 08:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC14RVH-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVB |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2509
466.5 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.9 IPS |
|
|
Image Classification (Q)
|
99% |
5019
936.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
798
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7447
121.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5208
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3477
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
17852
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (Q)
|
86% |
4842
389.1 IPS |
|
|
Face Detection (SP)
|
100% |
6807
80.9 IPS |
|
|
Face Detection (HP)
|
100% |
1280
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
7868
93.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6509
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1670
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12800
102.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11759
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8370
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
19991
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2131
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1499
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4144
153.4 IPS |
|
|
Text Classification (SP)
|
100% |
1268
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
573
764.7 IPS |
|
|
Text Classification (Q)
|
97% |
1202
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2280
45.8 IPS |
