ADLINK Technology Inc. Express-RLP-R3.1
Geekbench AI Score
2452
Single Precision Score
994
Half Precision Score
3737
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 09:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600HE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ADLINK Technology Inc. Express-RLP-R3.1 |
| Motherboard | ADLINK Technology Inc. Express-RLP-R3.1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13600HE |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2042
379.7 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.6 IPS |
|
|
Image Classification (Q)
|
99% |
3411
636.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1885
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3549
4.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2562
2.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
12524
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (HP)
|
100% |
496
39.4 IPS |
|
|
Object Detection (Q)
|
86% |
3516
282.5 IPS |
|
|
Face Detection (SP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
5745
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4860
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1470
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8398
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8467
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6567
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
15470
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1740
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3029
112.2 IPS |
|
|
Text Classification (SP)
|
100% |
1228
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
534
712.5 IPS |
|
|
Text Classification (Q)
|
97% |
414
555.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
523
9.01 IPS |
|
|
Machine Translation (Q)
|
65% |
2006
40.3 IPS |
