OPPO CPH2505
Geekbench AI Score
192
Single Precision Score
193
Half Precision Score
461
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 04:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
107
19.9 IPS |
|
|
Image Classification (HP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (Q)
|
99% |
301
56.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
343
5.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
796
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.93 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.95 IPS |
|
|
Object Detection (Q)
|
87% |
328
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
295
3.50 IPS |
|
|
Face Detection (HP)
|
100% |
297
3.52 IPS |
|
|
Face Detection (Q)
|
97% |
655
7.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
253
1.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
617
5.60 IPS |
|
|
Style Transfer (SP)
|
100% |
438
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
437
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
1238
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
430
15.9 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.4 IPS |
|
|
Text Classification (HP)
|
100% |
162
215.7 IPS |
|
|
Text Classification (Q)
|
91% |
312
419.2 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.94 IPS |
