Honeywell CT70
Geekbench AI Score
778
Single Precision Score
872
Half Precision Score
1283
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 06:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
100% |
1073
199.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
899
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2410
2.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
2490
2.95 IPS |
|
|
Object Detection (SP)
|
98% |
453
36.1 IPS |
|
|
Object Detection (HP)
|
98% |
474
37.7 IPS |
|
|
Object Detection (Q)
|
83% |
818
66.1 IPS |
|
|
Face Detection (SP)
|
100% |
757
8.99 IPS |
|
|
Face Detection (HP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (Q)
|
95% |
1936
23.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
960
7.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
1027
7.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
2228
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2577
3.35 IPS |
|
|
Style Transfer (HP)
|
89% |
5681
7.37 IPS |
|
|
Style Transfer (Q)
|
98% |
5006
6.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1350
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
306
407.9 IPS |
|
|
Text Classification (HP)
|
99% |
297
396.0 IPS |
|
|
Text Classification (Q)
|
88% |
582
784.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
