OPPO A102OP
Geekbench AI Score
312
Single Precision Score
474
Half Precision Score
439
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 09:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
226
41.9 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
99% |
332
62.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
454
7.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
1236
1.44 IPS |
|
|
Pose Estimation (HP)
|
99% |
1925
2.25 IPS |
|
|
Pose Estimation (Q)
|
97% |
1891
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (HP)
|
99% |
283
22.5 IPS |
|
|
Object Detection (Q)
|
85% |
274
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
1011
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
890
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
744
5.73 IPS |
|
|
Depth Estimation (HP)
|
98% |
1187
9.17 IPS |
|
|
Depth Estimation (Q)
|
65% |
995
8.93 IPS |
|
|
Style Transfer (SP)
|
100% |
1592
2.05 IPS |
|
|
Style Transfer (HP)
|
100% |
2827
3.63 IPS |
|
|
Style Transfer (Q)
|
98% |
2792
3.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
484
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
474
17.5 IPS |
|
|
Text Classification (SP)
|
35% |
13
123.0 IPS |
|
|
Text Classification (HP)
|
35% |
19
174.6 IPS |
|
|
Text Classification (Q)
|
35% |
19
169.0 IPS |
|
|
Machine Translation (SP)
|
100% |
178
3.06 IPS |
|
|
Machine Translation (HP)
|
97% |
195
3.38 IPS |
|
|
Machine Translation (Q)
|
64% |
155
3.19 IPS |
