samsung SM-A326U1
Geekbench ML Score
192
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 17 2022 12:45 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-A326U1 |
| Model ID | samsung SM-A326U1 |
| Motherboard | k6853v1_64_titan |
| CPU Information | |
|---|---|
| Name | ARM MT6853V/NZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.45 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
95
10.2 IPS |
|
|
Image Classification (F16)
|
100% |
77
8.25 IPS |
|
|
Image Classification (I8)
|
81% |
138
14.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
266
1.64 IPS |
|
|
Image Segmentation (F16)
|
100% |
277
1.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
480
2.96 IPS |
|
|
Pose Estimation (F32)
|
100% |
132
0.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
139
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
196
6.88 IPS |
|
|
Object Detection (F16)
|
100% |
94
3.29 IPS |
|
|
Object Detection (I8)
|
52% |
238
8.35 IPS |
|
|
Face Detection (F32)
|
100% |
224
2.57 IPS |
|
|
Face Detection (F16)
|
100% |
267
3.07 IPS |
|
|
Face Detection (I8)
|
75% |
305
3.51 IPS |
|
|
Text Classification (F32)
|
100% |
178
70.4 IPS |
|
|
Text Classification (F16)
|
100% |
373
147.4 IPS |
|
|
Machine Translation (F32)
|
100% |
238
36.8 IPS |
|
|
Machine Translation (F16)
|
100% |
233
35.9 IPS |
