OPPO CPH2689
Geekbench AI Score
1041
Single Precision Score
4159
Half Precision Score
4216
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 13 2025 12:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2689 |
| Model ID | OPPO CPH2689 |
| Motherboard | k6897v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
997
185.4 IPS |
|
|
Image Classification (HP)
|
100% |
3845
715.1 IPS |
|
|
Image Classification (Q)
|
99% |
6898
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4035
65.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1781
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8802
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17452
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
72340
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
4080
323.6 IPS |
|
|
Object Detection (Q)
|
86% |
4727
380.2 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
9683
115.1 IPS |
|
|
Face Detection (Q)
|
97% |
10946
130.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
721
5.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
18650
143.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
30602
290.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2829
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
467
0.60 IPS |
|
|
Style Transfer (Q)
|
30% |
406
6.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2405
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9938
367.0 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6765
985.2 IPS |
|
|
Text Classification (SP)
|
100% |
92
122.4 IPS |
|
|
Text Classification (HP)
|
100% |
1393
1.86 KIPS |
|
|
Text Classification (Q)
|
93% |
1401
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (HP)
|
100% |
1201
20.7 IPS |
|
|
Machine Translation (Q)
|
60% |
328
7.40 IPS |
