Zebra Technologies TC57
Geekbench ML Score
100
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 09 2023 01:20 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Zebra Technologies TC57 |
| Model ID | Zebra Technologies TC57 |
| Motherboard | sdm660 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.84 GHz |
| Cluster 1 | 4 Cores @ 1.84 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.58 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
81
8.71 IPS |
|
|
Image Classification (F16)
|
100% |
135
14.5 IPS |
|
|
Image Classification (I8)
|
81% |
136
14.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
150
0.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
150
0.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
255
1.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
19
0.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
37
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
37
0.15 IPS |
|
|
Object Detection (F32)
|
100% |
77
2.69 IPS |
|
|
Object Detection (F16)
|
100% |
98
3.45 IPS |
|
|
Object Detection (I8)
|
54% |
90
3.17 IPS |
|
|
Face Detection (F32)
|
100% |
125
1.44 IPS |
|
|
Face Detection (F16)
|
100% |
122
1.41 IPS |
|
|
Face Detection (I8)
|
75% |
224
2.57 IPS |
|
|
Text Classification (F32)
|
100% |
163
64.3 IPS |
|
|
Text Classification (F16)
|
100% |
163
64.4 IPS |
|
|
Machine Translation (F32)
|
100% |
88
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
88
13.6 IPS |
