ADLINK Technology Inc. AVA-7200
Geekbench AI Score
14793
Single Precision Score
25719
Half Precision Score
10062
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 03:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4500 Embedded GPU |
| 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 | Intel Core i7-13800HRE |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5944
1.11 KIPS |
|
|
Image Classification (HP)
|
99% |
10245
1.91 KIPS |
|
|
Image Classification (Q)
|
100% |
4564
848.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
10962
177.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16961
275.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8649
140.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
67283
78.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
233661
272.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57173
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
7870
624.2 IPS |
|
|
Object Detection (HP)
|
100% |
13510
1.07 KIPS |
|
|
Object Detection (Q)
|
85% |
5860
471.8 IPS |
|
|
Face Detection (SP)
|
100% |
17550
208.5 IPS |
|
|
Face Detection (HP)
|
100% |
32160
382.1 IPS |
|
|
Face Detection (Q)
|
97% |
13840
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34503
265.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
71619
551.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
24495
195.9 IPS |
|
|
Style Transfer (SP)
|
100% |
125924
161.9 IPS |
|
|
Style Transfer (HP)
|
100% |
343554
441.6 IPS |
|
|
Style Transfer (Q)
|
98% |
103743
133.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25651
947.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35931
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15414
570.8 IPS |
|
|
Text Classification (SP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1205
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3053
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2914
50.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1232
23.1 IPS |
