OPPO CPH2505
Geekbench AI Score
194
Single Precision Score
194
Half Precision Score
574
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 04:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO CPH2505 |
| Model ID | OPPO CPH2505 |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
113
20.9 IPS |
|
|
Image Classification (Q)
|
96% |
594
111.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
821
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
5067
5.94 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.92 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.94 IPS |
|
|
Object Detection (Q)
|
84% |
685
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
295
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
1351
16.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
2896
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
437
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
437
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
8243
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.0 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.3 IPS |
|
|
Text Classification (Q)
|
93% |
167
223.8 IPS |
|
|
Machine Translation (SP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.40 IPS |
