Honeywell CT32
Geekbench AI Score
182
Single Precision Score
286
Half Precision Score
263
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 02:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Honeywell CT32 |
| Model ID | Honeywell CT32 |
| 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% |
135
25.0 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
99% |
212
39.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
303
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
653
0.76 IPS |
|
|
Pose Estimation (HP)
|
99% |
1160
1.35 IPS |
|
|
Pose Estimation (Q)
|
97% |
1148
1.34 IPS |
|
|
Object Detection (SP)
|
100% |
114
9.06 IPS |
|
|
Object Detection (HP)
|
99% |
186
14.7 IPS |
|
|
Object Detection (Q)
|
85% |
179
14.4 IPS |
|
|
Face Detection (SP)
|
100% |
392
4.66 IPS |
|
|
Face Detection (HP)
|
100% |
649
7.71 IPS |
|
|
Face Detection (Q)
|
97% |
589
7.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
433
3.33 IPS |
|
|
Depth Estimation (HP)
|
98% |
697
5.39 IPS |
|
|
Depth Estimation (Q)
|
65% |
592
5.31 IPS |
|
|
Style Transfer (SP)
|
100% |
912
1.17 IPS |
|
|
Style Transfer (HP)
|
100% |
1409
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1367
1.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
248
9.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
198
7.35 IPS |
|
|
Text Classification (SP)
|
35% |
7
70.2 IPS |
|
|
Text Classification (HP)
|
35% |
11
99.7 IPS |
|
|
Text Classification (Q)
|
35% |
11
96.1 IPS |
|
|
Machine Translation (SP)
|
100% |
116
2.00 IPS |
|
|
Machine Translation (HP)
|
97% |
134
2.32 IPS |
|
|
Machine Translation (Q)
|
64% |
116
2.38 IPS |
