Honeywell CT70
Geekbench AI Score
575
Single Precision Score
929
Half Precision Score
748
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 07:23 PM |
| Views | 2 |
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% |
446
82.9 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.3 IPS |
|
|
Image Classification (Q)
|
100% |
635
118.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
882
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (HP)
|
99% |
4209
4.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
4108
4.82 IPS |
|
|
Object Detection (SP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (HP)
|
99% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
85% |
456
36.7 IPS |
|
|
Face Detection (SP)
|
100% |
1143
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1426
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1454
11.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2914
22.5 IPS |
|
|
Depth Estimation (Q)
|
61% |
2210
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2872
3.69 IPS |
|
|
Style Transfer (HP)
|
100% |
6507
8.36 IPS |
|
|
Style Transfer (Q)
|
98% |
6300
8.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
622
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
958
35.5 IPS |
|
|
Text Classification (SP)
|
35% |
22
211.4 IPS |
|
|
Text Classification (HP)
|
35% |
34
311.6 IPS |
|
|
Text Classification (Q)
|
33% |
27
305.1 IPS |
|
|
Machine Translation (SP)
|
100% |
237
4.09 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
48% |
102
3.92 IPS |
