OPPO PDYM20
Geekbench AI Score
456
Single Precision Score
456
Half Precision Score
837
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 22 2025 08:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
208
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (Q)
|
100% |
570
106.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
620
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
1419
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
83% |
577
46.6 IPS |
|
|
Face Detection (SP)
|
100% |
641
7.62 IPS |
|
|
Face Detection (HP)
|
100% |
640
7.61 IPS |
|
|
Face Detection (Q)
|
95% |
1329
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
826
6.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
838
6.46 IPS |
|
|
Depth Estimation (Q)
|
64% |
1332
12.2 IPS |
|
|
Style Transfer (SP)
|
89% |
1642
2.13 IPS |
|
|
Style Transfer (HP)
|
89% |
1654
2.15 IPS |
|
|
Style Transfer (Q)
|
98% |
3292
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
443
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
795
29.4 IPS |
|
|
Text Classification (SP)
|
100% |
246
328.9 IPS |
|
|
Text Classification (HP)
|
100% |
243
323.8 IPS |
|
|
Text Classification (Q)
|
88% |
441
594.9 IPS |
|
|
Machine Translation (SP)
|
100% |
421
7.26 IPS |
|
|
Machine Translation (HP)
|
100% |
415
7.14 IPS |
|
|
Machine Translation (Q)
|
50% |
288
10.2 IPS |
