samsung SM-T976B
Geekbench ML Score
414
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2024 06:54 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-T976B |
| Model ID | samsung SM-T976B |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.09 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
356
38.1 IPS |
|
|
Image Classification (F16)
|
100% |
379
40.6 IPS |
|
|
Image Classification (I8)
|
81% |
168
18.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
610
3.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
598
3.69 IPS |
|
|
Image Segmentation (I8)
|
89% |
918
5.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
244
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
233
0.94 IPS |
|
|
Pose Estimation (I8)
|
80% |
243
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
440
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
399
14.0 IPS |
|
|
Object Detection (I8)
|
52% |
349
12.3 IPS |
|
|
Face Detection (F32)
|
100% |
566
6.50 IPS |
|
|
Face Detection (F16)
|
100% |
609
6.99 IPS |
|
|
Face Detection (I8)
|
75% |
567
6.52 IPS |
|
|
Text Classification (F32)
|
100% |
329
129.9 IPS |
|
|
Text Classification (F16)
|
100% |
410
162.2 IPS |
|
|
Machine Translation (F32)
|
100% |
561
86.5 IPS |
|
|
Machine Translation (F16)
|
100% |
563
86.8 IPS |
