Zebra Technologies TC58E
Geekbench AI Score
636
Single Precision Score
636
Half Precision Score
1158
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitty_purry |
| Upload Date | April 22 2025 06:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Zebra Technologies TC58E |
| Model ID | Zebra Technologies TC58E |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
269
50.1 IPS |
|
|
Image Classification (HP)
|
100% |
269
50.1 IPS |
|
|
Image Classification (Q)
|
100% |
782
145.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
357
5.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
898
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1413
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1431
1.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
1895
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.5 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
83% |
774
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
936
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
934
11.1 IPS |
|
|
Face Detection (Q)
|
95% |
1863
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1217
9.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
1220
9.40 IPS |
|
|
Depth Estimation (Q)
|
64% |
1775
16.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2313
3.00 IPS |
|
|
Style Transfer (HP)
|
89% |
2310
3.00 IPS |
|
|
Style Transfer (Q)
|
98% |
4516
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1076
39.9 IPS |
|
|
Text Classification (SP)
|
100% |
316
421.3 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.8 IPS |
|
|
Text Classification (Q)
|
88% |
623
839.7 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (Q)
|
50% |
423
15.0 IPS |
