Zebra Technologies TC53E
Geekbench AI Score
96
Single Precision Score
145
Half Precision Score
151
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 26 2024 09:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Zebra Technologies TC53E |
| Model ID | Zebra Technologies TC53E |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
46
8.49 IPS |
|
|
Image Classification (HP)
|
100% |
68
12.6 IPS |
|
|
Image Classification (Q)
|
97% |
69
12.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
39
0.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
135
2.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
91
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
110
0.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
110
0.13 IPS |
|
|
Object Detection (SP)
|
100% |
50
4.00 IPS |
|
|
Object Detection (HP)
|
100% |
54
4.30 IPS |
|
|
Object Detection (Q)
|
89% |
54
4.31 IPS |
|
|
Face Detection (SP)
|
100% |
105
1.25 IPS |
|
|
Face Detection (HP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (Q)
|
97% |
260
3.10 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
190
1.47 IPS |
|
|
Depth Estimation (Q)
|
63% |
157
1.48 IPS |
|
|
Style Transfer (SP)
|
100% |
225
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
380
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
378
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60
2.21 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
78
2.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
77
2.86 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.8 IPS |
|
|
Text Classification (HP)
|
100% |
180
239.6 IPS |
|
|
Text Classification (Q)
|
91% |
334
449.0 IPS |
|
|
Machine Translation (SP)
|
100% |
312
5.38 IPS |
|
|
Machine Translation (HP)
|
100% |
312
5.37 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.95 IPS |
