OPPO PDYM20
Geekbench AI Score
156
Single Precision Score
215
Half Precision Score
209
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 08:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6853V/ZA |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO PDYM20 |
| Model ID | OPPO PDYM20 |
| Motherboard | k6853v1_64_6360 |
| CPU Information | |
|---|---|
| Name | ARM MT6853V/ZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 3.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (HP)
|
100% |
177
33.0 IPS |
|
|
Image Classification (Q)
|
99% |
164
30.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
245
3.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
105
0.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
122
0.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
122
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
78
6.20 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
83% |
120
9.70 IPS |
|
|
Face Detection (SP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (HP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
430
5.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
193
1.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.94 IPS |
|
|
Depth Estimation (Q)
|
62% |
204
1.93 IPS |
|
|
Style Transfer (SP)
|
100% |
392
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
536
0.69 IPS |
|
|
Style Transfer (Q)
|
98% |
533
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
93
3.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
137
5.05 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
138
5.11 IPS |
|
|
Text Classification (SP)
|
100% |
142
189.6 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.8 IPS |
|
|
Text Classification (Q)
|
91% |
230
309.2 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
57% |
187
4.57 IPS |
