OPPO CPH2577
Geekbench AI Score
222
Single Precision Score
220
Half Precision Score
407
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 06:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2577 |
| Model ID | OPPO CPH2577 |
| Motherboard | RM6769 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
100% |
504
93.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
650
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
871
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
883
1.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
1011
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
84
6.69 IPS |
|
|
Object Detection (HP)
|
100% |
78
6.19 IPS |
|
|
Object Detection (Q)
|
83% |
213
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
267
3.17 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (Q)
|
95% |
488
5.82 IPS |
|
|
Depth Estimation (SP)
|
100% |
319
2.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
373
2.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
659
6.04 IPS |
|
|
Style Transfer (SP)
|
89% |
963
1.25 IPS |
|
|
Style Transfer (HP)
|
89% |
1009
1.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2042
2.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
163
6.03 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
168
6.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
497
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
53
70.5 IPS |
|
|
Text Classification (HP)
|
100% |
53
71.2 IPS |
|
|
Text Classification (Q)
|
88% |
94
127.1 IPS |
|
|
Machine Translation (SP)
|
100% |
146
2.51 IPS |
|
|
Machine Translation (HP)
|
100% |
148
2.55 IPS |
|
|
Machine Translation (Q)
|
50% |
59
2.11 IPS |
