OPPO A303OP
Geekbench AI Score
143
Single Precision Score
194
Half Precision Score
190
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 29 2025 05:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM MT6833 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO A303OP |
| Model ID | OPPO A303OP |
| Motherboard | k6833v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6833 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
99% |
142
26.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
218
3.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
88
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
102
0.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
102
0.12 IPS |
|
|
Object Detection (SP)
|
100% |
70
5.52 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.72 IPS |
|
|
Object Detection (Q)
|
83% |
107
8.62 IPS |
|
|
Face Detection (SP)
|
100% |
268
3.19 IPS |
|
|
Face Detection (HP)
|
100% |
384
4.56 IPS |
|
|
Face Detection (Q)
|
97% |
364
4.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
165
1.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
215
1.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
173
1.64 IPS |
|
|
Style Transfer (SP)
|
100% |
332
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
459
0.59 IPS |
|
|
Style Transfer (Q)
|
98% |
459
0.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
85
3.13 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
130
4.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.58 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.1 IPS |
|
|
Text Classification (HP)
|
100% |
153
204.2 IPS |
|
|
Text Classification (Q)
|
91% |
251
337.7 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.44 IPS |
|
|
Machine Translation (Q)
|
57% |
204
4.98 IPS |
