OPPO CPH2625
Geekbench AI Score
926
Single Precision Score
926
Half Precision Score
2107
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 12 2025 01:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2625 |
| Model ID | OPPO CPH2625 |
| Motherboard | k6878v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.2 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.1 IPS |
|
|
Image Classification (Q)
|
100% |
1504
279.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2052
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2033
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
3870
4.59 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
83% |
1453
117.3 IPS |
|
|
Face Detection (SP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1042
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
3498
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1491
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1492
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3552
32.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3613
4.69 IPS |
|
|
Style Transfer (HP)
|
89% |
3591
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
8663
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
825
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2113
78.3 IPS |
|
|
Text Classification (SP)
|
100% |
541
722.4 IPS |
|
|
Text Classification (HP)
|
100% |
537
716.1 IPS |
|
|
Text Classification (Q)
|
88% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
500
17.8 IPS |
