Honeywell CT32
Geekbench AI Score
594
Single Precision Score
594
Half Precision Score
1158
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 01:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (Q)
|
100% |
795
147.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
892
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1311
1.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1314
1.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
1906
2.26 IPS |
|
|
Object Detection (SP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
83% |
777
62.8 IPS |
|
|
Face Detection (SP)
|
100% |
825
9.80 IPS |
|
|
Face Detection (HP)
|
100% |
822
9.77 IPS |
|
|
Face Detection (Q)
|
95% |
1861
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1102
8.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.57 IPS |
|
|
Depth Estimation (Q)
|
64% |
1793
16.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2189
2.84 IPS |
|
|
Style Transfer (HP)
|
89% |
2191
2.84 IPS |
|
|
Style Transfer (Q)
|
98% |
4521
5.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
584
21.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1085
40.2 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.5 IPS |
|
|
Text Classification (HP)
|
100% |
313
418.1 IPS |
|
|
Text Classification (Q)
|
88% |
642
865.7 IPS |
|
|
Machine Translation (SP)
|
100% |
509
8.76 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
50% |
395
14.0 IPS |
