Honeywell CT37
Geekbench AI Score
637
Single Precision Score
636
Half Precision Score
1158
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Honeywell CT37 |
| Model ID | Honeywell CT37 |
| 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% |
271
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (Q)
|
100% |
781
145.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
903
14.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1410
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1410
1.64 IPS |
|
|
Pose Estimation (Q)
|
84% |
1897
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
271
21.5 IPS |
|
|
Object Detection (Q)
|
83% |
774
62.5 IPS |
|
|
Face Detection (SP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
941
11.2 IPS |
|
|
Face Detection (Q)
|
95% |
1865
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1224
9.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
1219
9.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
1768
16.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2309
3.00 IPS |
|
|
Style Transfer (HP)
|
89% |
2301
2.99 IPS |
|
|
Style Transfer (Q)
|
98% |
4510
5.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
656
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1075
39.8 IPS |
|
|
Text Classification (SP)
|
100% |
316
422.0 IPS |
|
|
Text Classification (HP)
|
100% |
314
419.3 IPS |
|
|
Text Classification (Q)
|
88% |
620
836.2 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.36 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (Q)
|
50% |
425
15.1 IPS |
