PCC 1 i5 14 Advantech Default string Advantech Default string
Geekbench AI Score
3643
Single Precision Score
1412
Half Precision Score
6616
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 14 2025 03:27 PM |
| Views | 7 |
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% |
2736
508.7 IPS |
|
|
Image Classification (HP)
|
100% |
492
91.5 IPS |
|
|
Image Classification (Q)
|
99% |
5438
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7799
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5873
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3799
4.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
18650
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
635
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
5334
428.7 IPS |
|
|
Face Detection (SP)
|
100% |
7452
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
8667
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7864
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1999
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13660
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13460
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9106
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20779
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2660
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1797
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4022
148.9 IPS |
|
|
Text Classification (SP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
718
958.5 IPS |
|
|
Text Classification (Q)
|
97% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2019
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2807
56.4 IPS |
