DUOQIN F22 Pro
Geekbench AI Score
213
Single Precision Score
210
Half Precision Score
305
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 01:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8786V/CT |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | DUOQIN F22 Pro |
| Model ID | DUOQIN F22 Pro |
| Motherboard | AGN_1244RO_MT6769S_MX6432 |
| CPU Information | |
|---|---|
| Name | ARM MT8786V/CT |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.8 IPS |
|
|
Image Classification (HP)
|
100% |
91
16.9 IPS |
|
|
Image Classification (Q)
|
100% |
211
39.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
115
1.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
248
4.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
398
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.67 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.23 IPS |
|
|
Object Detection (Q)
|
83% |
194
15.7 IPS |
|
|
Face Detection (SP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (Q)
|
95% |
533
6.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
378
2.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
376
2.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
455
4.16 IPS |
|
|
Style Transfer (SP)
|
89% |
785
1.02 IPS |
|
|
Style Transfer (HP)
|
89% |
785
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
1102
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
195
7.22 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
191
7.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
237
8.78 IPS |
|
|
Text Classification (SP)
|
100% |
120
160.2 IPS |
|
|
Text Classification (HP)
|
100% |
121
162.0 IPS |
|
|
Text Classification (Q)
|
88% |
192
259.1 IPS |
|
|
Machine Translation (SP)
|
100% |
209
3.60 IPS |
|
|
Machine Translation (HP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (Q)
|
50% |
142
5.05 IPS |
