SH MM 1 i5 14 Advantech Default string Advantech Default string
Geekbench AI Score
3714
Single Precision Score
1463
Half Precision Score
5711
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 14 2025 07:10 PM |
| Views | 8 |
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% |
2738
509.1 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.3 IPS |
|
|
Image Classification (Q)
|
99% |
5325
993.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5294
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5891
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3712
4.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
19405
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2721
215.8 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
86% |
4873
391.6 IPS |
|
|
Face Detection (SP)
|
100% |
7458
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
8151
97.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7763
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1981
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13283
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14100
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8923
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21262
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2653
98.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1826
67.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4817
178.4 IPS |
|
|
Text Classification (SP)
|
100% |
1523
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.6 IPS |
|
|
Text Classification (Q)
|
97% |
495
662.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2524
50.7 IPS |
