OPPO A201OP
Geekbench AI Score
188
Single Precision Score
344
Half Precision Score
615
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 14 2025 07:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO A201OP |
| Model ID | OPPO A201OP |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
175
32.6 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
97% |
629
117.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
652
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
522
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1238
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
4621
5.41 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
99% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
85% |
494
39.8 IPS |
|
|
Face Detection (SP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (HP)
|
100% |
295
3.51 IPS |
|
|
Face Detection (Q)
|
97% |
1730
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
336
2.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
22% |
111
25.4 IPS |
|
|
Style Transfer (SP)
|
100% |
941
1.21 IPS |
|
|
Style Transfer (HP)
|
100% |
427
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
2591
3.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1996
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
2
2.13 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.2 IPS |
|
|
Text Classification (Q)
|
93% |
60
79.9 IPS |
|
|
Machine Translation (SP)
|
100% |
112
1.92 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
54% |
140
3.94 IPS |
