HONOR CRT-AN00
Geekbench AI Score
144
Single Precision Score
198
Half Precision Score
196
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 05:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
92
17.2 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.3 IPS |
|
|
Image Classification (Q)
|
99% |
164
30.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
219
3.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
88
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
102
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
102
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.68 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.30 IPS |
|
|
Object Detection (Q)
|
83% |
115
9.27 IPS |
|
|
Face Detection (SP)
|
100% |
279
3.31 IPS |
|
|
Face Detection (HP)
|
100% |
418
4.97 IPS |
|
|
Face Detection (Q)
|
97% |
414
4.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
165
1.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
216
1.67 IPS |
|
|
Depth Estimation (Q)
|
62% |
175
1.66 IPS |
|
|
Style Transfer (SP)
|
100% |
334
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
461
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
459
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
86
3.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
130
4.82 IPS |
|
|
Text Classification (SP)
|
100% |
153
204.2 IPS |
|
|
Text Classification (HP)
|
100% |
151
202.2 IPS |
|
|
Text Classification (Q)
|
91% |
253
340.3 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (Q)
|
57% |
184
4.49 IPS |
