HONOR CRT-AN00
Geekbench AI Score
510
Single Precision Score
511
Half Precision Score
953
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 12:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | HONOR CRT-AN00 |
| Model ID | HONOR CRT-AN00 |
| Motherboard | CRT |
| CPU Information | |
|---|---|
| Name | ARM MT6833 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
100% |
648
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
711
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1094
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1637
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
646
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
736
8.75 IPS |
|
|
Face Detection (HP)
|
100% |
735
8.73 IPS |
|
|
Face Detection (Q)
|
95% |
1481
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
842
6.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
878
6.77 IPS |
|
|
Depth Estimation (Q)
|
64% |
1512
13.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1864
2.42 IPS |
|
|
Style Transfer (HP)
|
89% |
1876
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3767
4.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
504
18.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
914
33.9 IPS |
|
|
Text Classification (SP)
|
100% |
274
365.8 IPS |
|
|
Text Classification (HP)
|
100% |
270
360.5 IPS |
|
|
Text Classification (Q)
|
88% |
494
666.5 IPS |
|
|
Machine Translation (SP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
