AI MM T400 Advantech Default string Advantech Default string
Geekbench AI Score
2596
Single Precision Score
1298
Half Precision Score
4906
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 11 2025 11:22 PM |
| Views | 8 |
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% |
2694
500.9 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
99% |
4788
893.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3215
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3028
3.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
14646
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
3670
295.0 IPS |
|
|
Face Detection (SP)
|
100% |
4231
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
1518
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
6810
81.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4304
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1896
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10238
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7512
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
6368
8.19 IPS |
|
|
Style Transfer (Q)
|
98% |
18294
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4785
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
536
718.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1817
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2989
60.1 IPS |
