Honeywell CT70
Geekbench AI Score
274
Single Precision Score
274
Half Precision Score
11251
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 07:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.0 IPS |
|
|
Image Classification (Q)
|
97% |
11357
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
7449
121.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
287
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
285
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
22192
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
157
12.5 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
86% |
5040
405.2 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.14 IPS |
|
|
Face Detection (HP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (Q)
|
97% |
27344
326.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
360
2.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
361
2.78 IPS |
|
|
Depth Estimation (Q)
|
63% |
23760
222.5 IPS |
|
|
Style Transfer (SP)
|
100% |
629
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
629
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
72808
93.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
176
6.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
18454
683.8 IPS |
|
|
Text Classification (SP)
|
100% |
234
311.9 IPS |
|
|
Text Classification (HP)
|
100% |
233
311.0 IPS |
|
|
Text Classification (Q)
|
93% |
4539
6.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
383
6.59 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.61 IPS |
|
|
Machine Translation (Q)
|
55% |
867
22.7 IPS |
