Honeywell CT70
Geekbench AI Score
944
Single Precision Score
757
Half Precision Score
1458
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 04:56 PM |
| Views | 5 |
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% |
1110
206.4 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
100% |
864
160.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
451
7.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1320
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1653
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2417
2.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
3723
4.42 IPS |
|
|
Object Detection (SP)
|
98% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
98% |
470
37.4 IPS |
|
|
Object Detection (Q)
|
83% |
1046
84.5 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.89 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.10 IPS |
|
|
Face Detection (Q)
|
95% |
1935
23.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1061
8.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.24 IPS |
|
|
Depth Estimation (Q)
|
64% |
3004
27.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5640
7.32 IPS |
|
|
Style Transfer (HP)
|
89% |
2632
3.42 IPS |
|
|
Style Transfer (Q)
|
98% |
5779
7.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
603
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1367
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
311
415.6 IPS |
|
|
Text Classification (HP)
|
99% |
303
404.3 IPS |
|
|
Text Classification (Q)
|
88% |
586
789.9 IPS |
|
|
Machine Translation (SP)
|
100% |
686
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
