Honeywell CT70
Geekbench AI Score
809
Single Precision Score
748
Half Precision Score
1416
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 05 2025 01:36 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% |
432
80.3 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
100% |
854
158.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1292
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2393
2.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1785
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
2504
2.97 IPS |
|
|
Object Detection (SP)
|
98% |
465
37.0 IPS |
|
|
Object Detection (HP)
|
98% |
467
37.1 IPS |
|
|
Object Detection (Q)
|
83% |
999
80.7 IPS |
|
|
Face Detection (SP)
|
100% |
767
9.12 IPS |
|
|
Face Detection (HP)
|
100% |
744
8.83 IPS |
|
|
Face Detection (Q)
|
95% |
1823
21.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1043
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
945
7.30 IPS |
|
|
Depth Estimation (Q)
|
64% |
2283
20.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2601
3.38 IPS |
|
|
Style Transfer (HP)
|
89% |
2618
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
8053
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
589
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1362
50.5 IPS |
|
|
Text Classification (SP)
|
100% |
311
414.8 IPS |
|
|
Text Classification (HP)
|
99% |
307
409.3 IPS |
|
|
Text Classification (Q)
|
88% |
657
885.5 IPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
392
13.9 IPS |
