ADLINK Technology Inc. MXE-230
Geekbench AI Score
1146
Single Precision Score
1234
Half Precision Score
793
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 03:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ADLINK Technology Inc. MXE-230 |
| Motherboard | ADLINK Technology Inc. MXE-230 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Atom(TM) x7835RE |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.3 IPS |
|
|
Image Classification (Q)
|
100% |
444
82.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
556
9.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
2973
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3859
4.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
2198
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.6 IPS |
|
|
Object Detection (HP)
|
98% |
504
40.1 IPS |
|
|
Object Detection (Q)
|
86% |
495
39.8 IPS |
|
|
Face Detection (SP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
846
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2250
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2430
18.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1538
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6484
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
10206
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
5301
6.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1229
45.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1800
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
677
25.1 IPS |
|
|
Text Classification (SP)
|
100% |
621
828.3 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.1 IPS |
|
|
Text Classification (Q)
|
97% |
304
407.8 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
70% |
260
4.88 IPS |
