samsung SM-T733
Geekbench ML Score
360
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2023 03:13 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-T733 |
| Model ID | samsung SM-T733 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
272
29.1 IPS |
|
|
Image Classification (F16)
|
100% |
272
29.2 IPS |
|
|
Image Classification (I8)
|
81% |
173
18.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
3.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
573
3.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
862
5.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
240
0.97 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
333
11.7 IPS |
|
|
Object Detection (F16)
|
100% |
322
11.3 IPS |
|
|
Object Detection (I8)
|
52% |
256
8.99 IPS |
|
|
Face Detection (F32)
|
100% |
495
5.69 IPS |
|
|
Face Detection (F16)
|
100% |
496
5.70 IPS |
|
|
Face Detection (I8)
|
75% |
460
5.29 IPS |
|
|
Text Classification (F32)
|
100% |
338
133.8 IPS |
|
|
Text Classification (F16)
|
100% |
339
134.3 IPS |
|
|
Machine Translation (F32)
|
100% |
461
71.0 IPS |
|
|
Machine Translation (F16)
|
100% |
458
70.5 IPS |
