Zebra Technologies TC53
Geekbench AI Score
394
Single Precision Score
484
Half Precision Score
496
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 29 2024 01:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Zebra Technologies TC53 |
| Model ID | Zebra Technologies TC53 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (Q)
|
97% |
352
65.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
342
5.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
476
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
342
0.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
346
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
89% |
246
19.7 IPS |
|
|
Face Detection (SP)
|
100% |
804
9.55 IPS |
|
|
Face Detection (HP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
971
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
710
5.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
1057
8.17 IPS |
|
|
Depth Estimation (Q)
|
62% |
849
8.04 IPS |
|
|
Style Transfer (SP)
|
100% |
1347
1.73 IPS |
|
|
Style Transfer (HP)
|
100% |
2358
3.03 IPS |
|
|
Style Transfer (Q)
|
98% |
2351
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
519
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
502
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
178
237.3 IPS |
|
|
Text Classification (HP)
|
100% |
178
237.4 IPS |
|
|
Text Classification (Q)
|
91% |
346
465.6 IPS |
|
|
Machine Translation (SP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
57% |
262
6.41 IPS |
