OPPO A102OP
Geekbench AI Score
388
Single Precision Score
401
Half Precision Score
731
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO A102OP |
| Model ID | OPPO A102OP |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 8 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.04 GHz |
| Memory Information | |
|---|---|
| Size | 3.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.2 IPS |
|
|
Image Classification (Q)
|
100% |
703
130.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
771
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
959
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
853
0.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
1188
1.41 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
83% |
567
45.8 IPS |
|
|
Face Detection (SP)
|
100% |
500
5.94 IPS |
|
|
Face Detection (HP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (Q)
|
95% |
1232
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
671
5.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
640
4.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
973
8.91 IPS |
|
|
Style Transfer (SP)
|
89% |
1849
2.40 IPS |
|
|
Style Transfer (HP)
|
89% |
1860
2.41 IPS |
|
|
Style Transfer (Q)
|
98% |
2573
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
352
13.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
936
34.7 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.4 IPS |
|
|
Text Classification (HP)
|
100% |
188
250.8 IPS |
|
|
Text Classification (Q)
|
88% |
257
346.3 IPS |
|
|
Machine Translation (SP)
|
100% |
299
5.16 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.18 IPS |
|
|
Machine Translation (Q)
|
50% |
161
5.70 IPS |
