Honeywell CT70
Geekbench AI Score
571
Single Precision Score
938
Half Precision Score
745
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 01:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
444
82.6 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.6 IPS |
|
|
Image Classification (Q)
|
100% |
634
117.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
805
13.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2288
2.67 IPS |
|
|
Pose Estimation (HP)
|
99% |
4185
4.88 IPS |
|
|
Pose Estimation (Q)
|
95% |
4100
4.81 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
99% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
85% |
457
36.8 IPS |
|
|
Face Detection (SP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
1487
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1431
11.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2903
22.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
2205
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2890
3.71 IPS |
|
|
Style Transfer (HP)
|
100% |
6424
8.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6307
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
954
35.4 IPS |
|
|
Text Classification (SP)
|
35% |
22
212.6 IPS |
|
|
Text Classification (HP)
|
35% |
35
317.2 IPS |
|
|
Text Classification (Q)
|
33% |
28
308.0 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (Q)
|
48% |
100
3.85 IPS |
