ASUSTeK COMPUTER INC. NUC14RVH-B
Geekbench AI Score
4415
Single Precision Score
5063
Half Precision Score
3144
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 10:49 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2253
418.9 IPS |
|
|
Image Classification (HP)
|
100% |
2391
444.6 IPS |
|
|
Image Classification (Q)
|
100% |
1727
321.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3080
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2499
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17309
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
28587
33.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12958
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
98% |
2339
186.1 IPS |
|
|
Object Detection (Q)
|
89% |
1942
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
5862
69.7 IPS |
|
|
Face Detection (Q)
|
97% |
2852
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9741
75.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11187
86.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
7350
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43914
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
58650
75.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31108
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6472
239.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7003
258.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3863
143.0 IPS |
|
|
Text Classification (SP)
|
86% |
655
885.4 IPS |
|
|
Text Classification (HP)
|
99% |
474
632.5 IPS |
|
|
Text Classification (Q)
|
83% |
518
705.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
60% |
668
14.9 IPS |
