NEW PCC 32 Advantech Default string Advantech Default string
Geekbench AI Score
2420
Single Precision Score
1380
Half Precision Score
5005
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 20 2025 04:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| 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 i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
586
109.0 IPS |
|
|
Image Classification (Q)
|
99% |
4681
873.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3886
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3360
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3554
4.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
14803
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (Q)
|
86% |
4934
396.6 IPS |
|
|
Face Detection (SP)
|
100% |
4084
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
6236
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4271
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1921
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10568
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7560
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
6553
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
17357
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1732
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4678
173.2 IPS |
|
|
Text Classification (SP)
|
100% |
1334
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
498
666.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1876
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2791
56.1 IPS |
