Zebra Technologies HC50
Geekbench AI Score
172
Single Precision Score
177
Half Precision Score
439
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Zebra Technologies HC50 |
| Model ID | Zebra Technologies HC50 |
| 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% |
106
19.8 IPS |
|
|
Image Classification (HP)
|
100% |
107
19.8 IPS |
|
|
Image Classification (Q)
|
99% |
292
54.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
328
5.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
761
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
106
8.39 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.50 IPS |
|
|
Object Detection (Q)
|
87% |
312
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
279
3.32 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.33 IPS |
|
|
Face Detection (Q)
|
97% |
630
7.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
156
1.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
219
1.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
568
5.15 IPS |
|
|
Style Transfer (SP)
|
100% |
419
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
420
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
1112
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
115
4.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
106
3.90 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
416
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.7 IPS |
|
|
Text Classification (HP)
|
100% |
139
184.9 IPS |
|
|
Text Classification (Q)
|
91% |
306
411.0 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (Q)
|
57% |
236
5.77 IPS |
