ASUSTeK COMPUTER INC. NUC14RVS-B
Geekbench AI Score
3404
Single Precision Score
7243
Half Precision Score
2518
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sauria |
| Upload Date | September 10 2024 04:21 PM |
| Views | 11 |
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. NUC14RVS-B |
| Motherboard | ASUSTeK COMPUTER INC. NUC14RVS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.2 IPS |
|
|
Image Classification (HP)
|
100% |
4464
830.2 IPS |
|
|
Image Classification (Q)
|
99% |
1270
236.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1645
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7384
119.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1392
22.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14440
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20947
24.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12266
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (HP)
|
99% |
4767
379.2 IPS |
|
|
Object Detection (Q)
|
89% |
1203
96.2 IPS |
|
|
Face Detection (SP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
8101
96.3 IPS |
|
|
Face Detection (Q)
|
97% |
1038
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7868
60.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
21296
164.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
6332
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42826
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66045
84.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31334
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7812
288.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10590
391.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5159
191.0 IPS |
|
|
Text Classification (SP)
|
86% |
846
1.14 KIPS |
|
|
Text Classification (HP)
|
99% |
613
817.9 IPS |
|
|
Text Classification (Q)
|
83% |
535
728.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1691
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1633
28.1 IPS |
|
|
Machine Translation (Q)
|
60% |
693
15.5 IPS |
