Khadas Edge2
Geekbench AI Score
892
Single Precision Score
904
Half Precision Score
1835
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 22 2024 07:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Khadas Edge2 |
| Model ID | Khadas Edge2 |
| Motherboard | rk30sdk |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (Q)
|
100% |
1317
244.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
548
8.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
1495
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2054
2.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
3475
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.9 IPS |
|
|
Object Detection (HP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
83% |
1276
103.1 IPS |
|
|
Face Detection (SP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (Q)
|
95% |
3010
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
758
5.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
888
6.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
3125
28.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3527
4.58 IPS |
|
|
Style Transfer (HP)
|
89% |
3522
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
7767
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
895
33.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1876
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
523
697.7 IPS |
|
|
Text Classification (HP)
|
100% |
510
680.9 IPS |
|
|
Text Classification (Q)
|
88% |
830
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
438
15.5 IPS |
