Zebra Technologies TC58
Geekbench AI Score
234
Single Precision Score
234
Half Precision Score
9796
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kitty_purry |
| Upload Date | April 17 2025 03:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
99% |
9007
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
5464
88.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
56834
66.6 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
88% |
3735
299.2 IPS |
|
|
Face Detection (SP)
|
100% |
341
4.05 IPS |
|
|
Face Detection (HP)
|
100% |
343
4.08 IPS |
|
|
Face Detection (Q)
|
97% |
19264
229.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
301
2.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
301
2.32 IPS |
|
|
Depth Estimation (Q)
|
64% |
23351
215.0 IPS |
|
|
Style Transfer (SP)
|
100% |
521
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
521
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
99976
128.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
151
5.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
151
5.58 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
25097
930.0 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.3 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.9 IPS |
|
|
Text Classification (Q)
|
94% |
2388
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
50% |
289
10.0 IPS |
