Zebra Technologies TC27
Geekbench AI Score
189
Single Precision Score
242
Half Precision Score
246
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitty_purry |
| Upload Date | April 22 2025 05:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Zebra Technologies TC27 |
| Model ID | Zebra Technologies TC27 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 6 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 | 2 Cores @ 2.13 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
119
22.1 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (Q)
|
97% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
264
4.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
185
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
129
0.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
130
0.15 IPS |
|
|
Object Detection (SP)
|
100% |
82
6.47 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.71 IPS |
|
|
Object Detection (Q)
|
89% |
94
7.50 IPS |
|
|
Face Detection (SP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
419
5.00 IPS |
|
|
Depth Estimation (SP)
|
100% |
269
2.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
400
3.09 IPS |
|
|
Depth Estimation (Q)
|
62% |
317
3.00 IPS |
|
|
Style Transfer (SP)
|
100% |
470
0.60 IPS |
|
|
Style Transfer (HP)
|
100% |
885
1.14 IPS |
|
|
Style Transfer (Q)
|
98% |
893
1.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
201
7.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
196
7.26 IPS |
|
|
Text Classification (SP)
|
100% |
155
206.6 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.2 IPS |
|
|
Text Classification (Q)
|
91% |
306
411.2 IPS |
|
|
Machine Translation (SP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.70 IPS |
