ADLINK Technology Inc. AVA-7200
Geekbench AI Score
3964
Single Precision Score
5374
Half Precision Score
8368
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 05:58 AM |
| Views | 4 |
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% |
2496
464.2 IPS |
|
|
Image Classification (HP)
|
100% |
3794
705.5 IPS |
|
|
Image Classification (Q)
|
99% |
5012
934.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3708
60.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6085
98.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7646
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8139
9.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
6014
7.02 IPS |
|
|
Pose Estimation (Q)
|
97% |
27348
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
3497
277.4 IPS |
|
|
Object Detection (Q)
|
90% |
5581
446.3 IPS |
|
|
Face Detection (SP)
|
100% |
6627
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
9902
117.7 IPS |
|
|
Face Detection (Q)
|
100% |
13795
163.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13338
103.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
17617
137.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20889
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30133
38.7 IPS |
|
|
Style Transfer (Q)
|
98% |
59965
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3433
126.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5215
192.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10874
402.7 IPS |
|
|
Text Classification (SP)
|
71% |
1089
1.58 KIPS |
|
|
Text Classification (HP)
|
71% |
1220
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
1132
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
96% |
1636
28.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1605
27.7 IPS |
