ADLINK Technology Inc. Express-RLP-R3.1
Geekbench AI Score
3665
Single Precision Score
5322
Half Precision Score
8625
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 15 2025 09:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
2380
442.6 IPS |
|
|
Image Classification (HP)
|
100% |
3852
716.4 IPS |
|
|
Image Classification (Q)
|
99% |
5577
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3449
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5533
89.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7808
126.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6372
7.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
5340
6.23 IPS |
|
|
Pose Estimation (Q)
|
97% |
22523
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.2 IPS |
|
|
Object Detection (HP)
|
100% |
3382
268.3 IPS |
|
|
Object Detection (Q)
|
90% |
5734
458.5 IPS |
|
|
Face Detection (SP)
|
100% |
5639
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
9723
115.5 IPS |
|
|
Face Detection (Q)
|
100% |
15814
187.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7372
56.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12890
99.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
17952
139.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18597
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32393
41.6 IPS |
|
|
Style Transfer (Q)
|
98% |
56458
72.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3315
122.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5228
193.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11204
414.9 IPS |
|
|
Text Classification (SP)
|
71% |
1175
1.70 KIPS |
|
|
Text Classification (HP)
|
71% |
1318
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
1339
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1695
29.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1686
29.0 IPS |
