Zebra Technologies TC27
Geekbench AI Score
554
Single Precision Score
554
Half Precision Score
1031
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitty_purry |
| Upload Date | April 22 2025 04:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
100% |
692
128.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
800
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1207
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1211
1.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
1672
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
83% |
679
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
807
9.59 IPS |
|
|
Face Detection (HP)
|
100% |
807
9.59 IPS |
|
|
Face Detection (Q)
|
95% |
1653
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1094
8.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
1090
8.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
1566
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1972
2.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1969
2.56 IPS |
|
|
Style Transfer (Q)
|
98% |
3884
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
582
21.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
963
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.1 IPS |
|
|
Text Classification (HP)
|
100% |
277
370.4 IPS |
|
|
Text Classification (Q)
|
88% |
592
798.5 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
50% |
378
13.4 IPS |
