SH MM 1 i5 14 Advantech Default string Advantech Default string
Geekbench AI Score
3733
Single Precision Score
1462
Half Precision Score
5680
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 14 2025 06:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Advantech Default string |
| Motherboard | Advantech AIMB-788E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2834
527.0 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.2 IPS |
|
|
Image Classification (Q)
|
99% |
5106
952.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1004
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5312
86.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5919
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3718
4.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
19699
23.1 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
86% |
4928
396.0 IPS |
|
|
Face Detection (SP)
|
100% |
7348
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
7946
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7863
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2023
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13003
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14009
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8900
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21201
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2781
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4859
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
1472
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
726
969.0 IPS |
|
|
Text Classification (Q)
|
97% |
494
661.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2527
50.8 IPS |
