Advantech Default string
Geekbench AI Score
4435
Single Precision Score
1473
Half Precision Score
6568
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 12:42 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| 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 i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3585
666.6 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.1 IPS |
|
|
Image Classification (Q)
|
99% |
6081
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7149
116.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8189
9.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
4129
4.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
25950
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3387
268.7 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
86% |
5461
438.9 IPS |
|
|
Face Detection (SP)
|
100% |
10214
121.4 IPS |
|
|
Face Detection (HP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
9410
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10050
77.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2054
15.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16377
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18921
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9779
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23312
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3172
117.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4902
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
1496
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
734
979.1 IPS |
|
|
Text Classification (Q)
|
97% |
505
676.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2730
54.9 IPS |
