Samsung Galaxy A33
Geekbench ML Score
186
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 18 2024 03:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A33 |
| Model ID | samsung SM-A336E |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
199
37.2 IPS |
|
|
Image Classification (F16)
|
100% |
206
38.5 IPS |
|
|
Image Classification (I8)
|
97% |
467
87.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
273
4.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
203
3.39 IPS |
|
|
Image Segmentation (I8)
|
98% |
232
3.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
366
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
375
0.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
2224
2.69 IPS |
|
|
Object Detection (F32)
|
100% |
224
16.8 IPS |
|
|
Object Detection (F16)
|
100% |
246
18.4 IPS |
|
|
Object Detection (I8)
|
61% |
85
6.37 IPS |
|
|
Face Detection (F32)
|
100% |
233
2.77 IPS |
|
|
Face Detection (F16)
|
100% |
220
2.62 IPS |
|
|
Face Detection (I8)
|
86% |
288
3.42 IPS |
|
|
Depth Estimation (F32)
|
100% |
335
2.59 IPS |
|
|
Depth Estimation (F16)
|
100% |
265
2.05 IPS |
|
|
Depth Estimation (I8)
|
95% |
285
2.21 IPS |
|
|
Style Transfer (F32)
|
100% |
703
0.92 IPS |
|
|
Style Transfer (F16)
|
100% |
697
0.92 IPS |
|
|
Style Transfer (I8)
|
98% |
1747
2.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
122
4.37 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
182
6.50 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
245
8.75 IPS |
|
|
Text Classification (F32)
|
100% |
10
14.1 IPS |
|
|
Text Classification (F16)
|
100% |
11
15.2 IPS |
|
|
Text Classification (I8)
|
92% |
11
16.1 IPS |
|
|
Machine Translation (F32)
|
100% |
24
0.45 IPS |
|
|
Machine Translation (F16)
|
100% |
68
1.25 IPS |
|
|
Machine Translation (I8)
|
64% |
104
1.91 IPS |
