ADLINK Technology Inc. AVA-7200
Geekbench AI Score
4233
Single Precision Score
5822
Half Precision Score
9294
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 08 2025 03:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2657
494.1 IPS |
|
|
Image Classification (HP)
|
100% |
4185
778.3 IPS |
|
|
Image Classification (Q)
|
99% |
5735
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3904
63.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6286
101.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7881
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8156
9.52 IPS |
|
|
Pose Estimation (HP)
|
99% |
6025
7.03 IPS |
|
|
Pose Estimation (Q)
|
97% |
27614
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
100% |
3773
299.3 IPS |
|
|
Object Detection (Q)
|
90% |
6416
513.0 IPS |
|
|
Face Detection (SP)
|
100% |
7112
84.5 IPS |
|
|
Face Detection (HP)
|
100% |
10797
128.3 IPS |
|
|
Face Detection (Q)
|
100% |
15920
189.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8652
66.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13926
107.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
18992
147.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21125
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30703
39.5 IPS |
|
|
Style Transfer (Q)
|
98% |
60958
78.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3561
131.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5455
201.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11949
442.5 IPS |
|
|
Text Classification (SP)
|
71% |
1294
1.87 KIPS |
|
|
Text Classification (HP)
|
71% |
1519
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
1396
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1473
25.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1959
33.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1955
33.7 IPS |
