HONOR CRT-AN00
Geekbench AI Score
477
Single Precision Score
488
Half Precision Score
954
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 04:36 AM |
| 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% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
100% |
649
120.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1084
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1084
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1644
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
651
52.6 IPS |
|
|
Face Detection (SP)
|
100% |
732
8.70 IPS |
|
|
Face Detection (HP)
|
100% |
737
8.76 IPS |
|
|
Face Detection (Q)
|
95% |
1480
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
526
4.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
642
4.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
1511
13.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1855
2.41 IPS |
|
|
Style Transfer (HP)
|
89% |
1804
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3756
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
911
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
275
366.7 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.2 IPS |
|
|
Text Classification (Q)
|
88% |
495
667.8 IPS |
|
|
Machine Translation (SP)
|
100% |
476
8.19 IPS |
|
|
Machine Translation (HP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (Q)
|
50% |
336
11.9 IPS |
