ADLINK Technology Inc. AVA-7200
Geekbench AI Score
14767
Single Precision Score
26343
Half Precision Score
10033
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 03:08 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% |
5921
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
10738
2.00 KIPS |
|
|
Image Classification (Q)
|
100% |
4550
846.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10890
176.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16932
274.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8658
140.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
67541
78.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
229626
267.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
57014
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
7862
623.6 IPS |
|
|
Object Detection (HP)
|
100% |
13568
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
5896
474.6 IPS |
|
|
Face Detection (SP)
|
100% |
17910
212.8 IPS |
|
|
Face Detection (HP)
|
100% |
32049
380.8 IPS |
|
|
Face Detection (Q)
|
97% |
13851
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
34229
263.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
71275
549.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
24439
195.4 IPS |
|
|
Style Transfer (SP)
|
100% |
128640
165.4 IPS |
|
|
Style Transfer (HP)
|
100% |
342850
440.7 IPS |
|
|
Style Transfer (Q)
|
98% |
101886
131.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25513
942.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36127
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15427
571.2 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1206
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2947
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1217
22.8 IPS |
