OPPO CPH2009
Geekbench AI Score
170
Single Precision Score
265
Half Precision Score
270
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 12 2024 07:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO CPH2009 |
| Model ID | OPPO CPH2009 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
96
17.9 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.1 IPS |
|
|
Image Classification (Q)
|
97% |
163
30.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
257
4.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
236
0.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
234
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
87
6.87 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.89 IPS |
|
|
Object Detection (Q)
|
89% |
123
9.81 IPS |
|
|
Face Detection (SP)
|
100% |
248
2.95 IPS |
|
|
Face Detection (HP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (Q)
|
97% |
529
6.31 IPS |
|
|
Depth Estimation (SP)
|
100% |
226
1.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
423
3.27 IPS |
|
|
Depth Estimation (Q)
|
62% |
345
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
412
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
1012
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
1005
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
103
3.80 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
156
5.79 IPS |
|
|
Text Classification (SP)
|
100% |
169
226.2 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.7 IPS |
|
|
Text Classification (Q)
|
91% |
282
379.2 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.19 IPS |
