ADLINK Technology Inc. cExpress-RLP-R3.1
Geekbench AI Score
2673
Single Precision Score
2951
Half Precision Score
6297
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 17 2025 07:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i3-1320PRE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ADLINK Technology Inc. cExpress-RLP-R3.1 |
| Motherboard | ADLINK Technology Inc. cExpress-RLP-R3.1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i3-1320PRE |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1927
358.5 IPS |
|
|
Image Classification (HP)
|
100% |
1932
359.3 IPS |
|
|
Image Classification (Q)
|
100% |
4567
849.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1494
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2253
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4283
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3723
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
3247
3.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
13121
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
1867
148.1 IPS |
|
|
Object Detection (Q)
|
88% |
4377
350.9 IPS |
|
|
Face Detection (SP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
4685
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
5964
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5088
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5048
38.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10998
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8948
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11024
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37746
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2277
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2312
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4115
152.4 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1328
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
2777
3.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2672
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2378
41.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3085
53.1 IPS |
