OPPO A401OP
Geekbench AI Score
535
Single Precision Score
531
Half Precision Score
1099
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 07:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6877V/TTZA |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO A401OP |
| Model ID | OPPO A401OP |
| Motherboard | k6877v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/TTZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
100% |
721
134.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
812
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1092
1.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
1840
2.18 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (Q)
|
83% |
704
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
757
9.00 IPS |
|
|
Face Detection (HP)
|
100% |
760
9.04 IPS |
|
|
Face Detection (Q)
|
95% |
1744
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
997
7.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
996
7.67 IPS |
|
|
Depth Estimation (Q)
|
64% |
1698
15.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2004
2.60 IPS |
|
|
Style Transfer (HP)
|
89% |
2002
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4320
5.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1035
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.1 IPS |
|
|
Text Classification (HP)
|
100% |
290
387.3 IPS |
|
|
Text Classification (Q)
|
88% |
662
893.5 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.83 IPS |
|
|
Machine Translation (HP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (Q)
|
50% |
388
13.8 IPS |
