Zebra Technologies TC27
Geekbench AI Score
185
Single Precision Score
185
Half Precision Score
440
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitty_purry |
| Upload Date | April 22 2025 06:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
107
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
107
19.8 IPS |
|
|
Image Classification (Q)
|
99% |
291
54.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
328
5.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
197
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
739
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
107
8.47 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.48 IPS |
|
|
Object Detection (Q)
|
87% |
312
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.33 IPS |
|
|
Face Detection (Q)
|
97% |
635
7.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
241
1.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
575
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
425
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1128
1.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
118
4.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
420
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.1 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (Q)
|
91% |
305
410.4 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.58 IPS |
|
|
Machine Translation (Q)
|
57% |
239
5.84 IPS |
