Samsung Galaxy A20e
Geekbench AI Score
13
Single Precision Score
13
Half Precision Score
7
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 04 2024 12:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Samsung Exynos 7884 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A20e |
| Model ID | samsung SM-A202F |
| Motherboard | exynos7884B |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.69 GHz |
| Cluster 1 | 6 Cores @ 1.69 GHz |
| Cluster 2 | 2 Cores @ 2.08 GHz |
| Memory Information | |
|---|---|
| Size | 2.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
0% |
0
1.48 KIPS |
|
|
Image Classification (HP)
|
0% |
0
1.47 KIPS |
|
|
Image Classification (Q)
|
0% |
0
1.70 KIPS |
|
|
Image Segmentation (SP)
|
73% |
9202
159.0 IPS |
|
|
Image Segmentation (HP)
|
73% |
9213
159.2 IPS |
|
|
Image Segmentation (Q)
|
73% |
22158
382.9 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
494.6 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
498.7 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
1.08 KIPS |
|
|
Object Detection (SP)
|
0% |
0
694.5 IPS |
|
|
Object Detection (HP)
|
0% |
0
689.0 IPS |
|
|
Object Detection (Q)
|
0% |
0
543.5 IPS |
|
|
Face Detection (SP)
|
0% |
0
231.1 IPS |
|
|
Face Detection (HP)
|
0% |
0
232.5 IPS |
|
|
Face Detection (Q)
|
0% |
0
360.8 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
494.4 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
490.9 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
445.6 IPS |
|
|
Style Transfer (SP)
|
32% |
76348
957.6 IPS |
|
|
Style Transfer (HP)
|
32% |
75205
943.3 IPS |
|
|
Style Transfer (Q)
|
0% |
0
2.03 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
123
1.45 KIPS |
|
|
Text Classification (SP)
|
29% |
376
6.49 KIPS |
|
|
Text Classification (HP)
|
29% |
374
6.47 KIPS |
|
|
Text Classification (Q)
|
29% |
253
4.37 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
4.84 IPS |
|
|
Machine Translation (HP)
|
0% |
0
4.76 IPS |
|
|
Machine Translation (Q)
|
0% |
0
3.86 IPS |
