Honeywell CT70
Geekbench AI Score
272
Single Precision Score
272
Half Precision Score
623
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 06:58 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Honeywell CT70 |
| Model ID | Honeywell CT70 |
| Motherboard | volcano |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.71 GHz |
| Cluster 3 | 1 Core @ 2.96 GHz |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
160
29.7 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
99% |
396
73.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
217
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
218
3.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
457
7.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
1093
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
422
33.8 IPS |
|
|
Face Detection (SP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (HP)
|
100% |
439
5.22 IPS |
|
|
Face Detection (Q)
|
97% |
933
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
360
2.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
360
2.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
849
7.71 IPS |
|
|
Style Transfer (SP)
|
100% |
629
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
630
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1873
2.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
175
6.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
221
294.9 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.2 IPS |
|
|
Text Classification (Q)
|
91% |
396
532.0 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (Q)
|
57% |
286
6.99 IPS |
