ADLINK Technology Inc. AVA-7200
Geekbench AI Score
1623
Single Precision Score
1660
Half Precision Score
1531
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 05:54 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13600HRE |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ADLINK Technology Inc. AVA-7200 |
| Motherboard | ADLINK Technology Inc. AVA-7200 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13600HRE |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
497
92.5 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
100% |
853
158.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
695
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2318
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2678
3.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
4473
5.24 IPS |
|
|
Object Detection (SP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (HP)
|
100% |
791
62.8 IPS |
|
|
Object Detection (Q)
|
88% |
892
71.5 IPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
3182
37.8 IPS |
|
|
Face Detection (Q)
|
100% |
1943
23.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3346
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3014
23.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
2204
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8521
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8590
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
6103
7.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1501
55.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1306
48.4 IPS |
|
|
Text Classification (SP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
92% |
952
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (Q)
|
100% |
842
14.5 IPS |
