ADLINK Technology Inc. AVA-7200
Geekbench AI Score
3953
Single Precision Score
5349
Half Precision Score
8443
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 02 2025 07:14 AM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2497
464.4 IPS |
|
|
Image Classification (HP)
|
100% |
3828
711.8 IPS |
|
|
Image Classification (Q)
|
99% |
5007
933.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3693
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6049
98.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7606
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8140
9.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
5914
6.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
27317
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2321
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
3494
277.1 IPS |
|
|
Object Detection (Q)
|
90% |
5617
449.1 IPS |
|
|
Face Detection (SP)
|
100% |
6549
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
9887
117.5 IPS |
|
|
Face Detection (Q)
|
100% |
14370
170.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13320
103.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
17635
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20957
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29692
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
59853
77.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3443
127.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10882
403.0 IPS |
|
|
Text Classification (SP)
|
71% |
1049
1.52 KIPS |
|
|
Text Classification (HP)
|
71% |
1195
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
1170
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1633
28.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1633
28.1 IPS |
