OPPO OPD2402
Geekbench AI Score
904
Single Precision Score
1217
Half Precision Score
1246
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 08 2025 03:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO OPD2402 |
| Model ID | OPPO OPD2402 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
96% |
487
90.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1023
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1071
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2422
2.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
2387
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
806
63.9 IPS |
|
|
Object Detection (Q)
|
87% |
833
66.9 IPS |
|
|
Face Detection (SP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
2284
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1764
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3685
28.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2996
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6627
8.52 IPS |
|
|
Style Transfer (HP)
|
100% |
10850
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10761
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1406
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1374
50.9 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.7 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.7 IPS |
|
|
Text Classification (Q)
|
91% |
294
395.3 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
57% |
307
7.51 IPS |
