Honeywell CT37
Geekbench AI Score
185
Single Precision Score
288
Half Precision Score
262
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 07:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
136
25.3 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
99% |
211
39.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
303
4.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
652
0.76 IPS |
|
|
Pose Estimation (HP)
|
99% |
1164
1.36 IPS |
|
|
Pose Estimation (Q)
|
97% |
1161
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
117
9.28 IPS |
|
|
Object Detection (HP)
|
99% |
186
14.7 IPS |
|
|
Object Detection (Q)
|
85% |
180
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
408
4.84 IPS |
|
|
Face Detection (HP)
|
100% |
668
7.94 IPS |
|
|
Face Detection (Q)
|
97% |
604
7.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
441
3.40 IPS |
|
|
Depth Estimation (HP)
|
98% |
700
5.41 IPS |
|
|
Depth Estimation (Q)
|
65% |
590
5.30 IPS |
|
|
Style Transfer (SP)
|
100% |
966
1.24 IPS |
|
|
Style Transfer (HP)
|
100% |
1416
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1369
1.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
250
9.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
202
7.48 IPS |
|
|
Text Classification (SP)
|
35% |
7
71.6 IPS |
|
|
Text Classification (HP)
|
35% |
11
101.7 IPS |
|
|
Text Classification (Q)
|
35% |
11
100.1 IPS |
|
|
Machine Translation (SP)
|
100% |
114
1.97 IPS |
|
|
Machine Translation (HP)
|
97% |
135
2.34 IPS |
|
|
Machine Translation (Q)
|
64% |
108
2.22 IPS |
