ADLINK Technology Inc. Express-RLP-R3.1
Geekbench AI Score
2709
Single Precision Score
2694
Half Precision Score
3794
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 09:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1559
290.0 IPS |
|
|
Image Classification (HP)
|
100% |
1572
292.3 IPS |
|
|
Image Classification (Q)
|
100% |
2053
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2033
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3439
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
3424
4.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
5539
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (Q)
|
88% |
2200
176.3 IPS |
|
|
Face Detection (SP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4395
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
5079
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4357
33.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4155
32.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
9308
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10363
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10206
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15642
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1934
71.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3111
115.2 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2206
38.0 IPS |
