PCC 1 i5 14 Advantech Default string Advantech Default string
Geekbench AI Score
3498
Single Precision Score
1368
Half Precision Score
6578
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 12 2025 10:17 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% |
2654
493.6 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.0 IPS |
|
|
Image Classification (Q)
|
99% |
5226
974.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1553
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7833
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5814
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3779
4.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
18861
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
86% |
4909
394.5 IPS |
|
|
Face Detection (SP)
|
100% |
7002
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
1408
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
8399
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7607
58.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1927
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13288
106.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13476
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9200
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20291
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2409
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4943
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
708
945.5 IPS |
|
|
Text Classification (Q)
|
97% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2568
51.6 IPS |
