ADLINK Technology Inc. AVA-7200
Geekbench AI Score
14553
Single Precision Score
26229
Half Precision Score
10071
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 03:18 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% |
5938
1.10 KIPS |
|
|
Image Classification (HP)
|
99% |
10202
1.90 KIPS |
|
|
Image Classification (Q)
|
100% |
4573
850.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10950
177.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16964
275.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8669
141.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
67429
78.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
230491
268.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
57118
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
7838
621.7 IPS |
|
|
Object Detection (HP)
|
100% |
13591
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
5904
475.3 IPS |
|
|
Face Detection (SP)
|
100% |
17522
208.2 IPS |
|
|
Face Detection (HP)
|
100% |
32097
381.4 IPS |
|
|
Face Detection (Q)
|
97% |
13862
165.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
34262
264.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71807
553.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
24669
197.3 IPS |
|
|
Style Transfer (SP)
|
100% |
120028
154.3 IPS |
|
|
Style Transfer (HP)
|
100% |
339319
436.2 IPS |
|
|
Style Transfer (Q)
|
98% |
104040
134.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25487
941.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35856
1.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15363
568.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2871
3.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1207
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2954
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3531
60.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1218
22.8 IPS |
