Zebra Technologies TC58
Geekbench AI Score
408
Single Precision Score
499
Half Precision Score
503
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitty_purry |
| Upload Date | April 17 2025 02:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Zebra Technologies TC58 |
| Model ID | Zebra Technologies TC58 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.4 IPS |
|
|
Image Classification (Q)
|
97% |
366
68.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
357
5.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
295
4.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
475
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
371
0.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
354
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.8 IPS |
|
|
Object Detection (Q)
|
89% |
235
18.8 IPS |
|
|
Face Detection (SP)
|
100% |
798
9.48 IPS |
|
|
Face Detection (HP)
|
100% |
1091
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
960
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
710
5.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
1050
8.11 IPS |
|
|
Depth Estimation (Q)
|
62% |
840
7.95 IPS |
|
|
Style Transfer (SP)
|
100% |
1341
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2354
3.03 IPS |
|
|
Style Transfer (Q)
|
98% |
2348
3.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
513
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
498
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
198
264.3 IPS |
|
|
Text Classification (HP)
|
100% |
198
263.9 IPS |
|
|
Text Classification (Q)
|
91% |
391
524.9 IPS |
|
|
Machine Translation (SP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (Q)
|
57% |
318
7.78 IPS |
