OPPO CPH2671
Geekbench AI Score
1986
Single Precision Score
1977
Half Precision Score
3148
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 03:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2671 |
| Model ID | OPPO CPH2671 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 7 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 5 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1173
218.1 IPS |
|
|
Image Classification (HP)
|
100% |
1154
214.7 IPS |
|
|
Image Classification (Q)
|
100% |
2471
459.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3380
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3978
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
9691
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1194
95.1 IPS |
|
|
Object Detection (HP)
|
98% |
1153
91.7 IPS |
|
|
Object Detection (Q)
|
83% |
2597
209.8 IPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3254
38.7 IPS |
|
|
Face Detection (Q)
|
95% |
5998
71.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2920
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2945
22.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6206
56.8 IPS |
|
|
Style Transfer (SP)
|
89% |
7631
9.91 IPS |
|
|
Style Transfer (HP)
|
89% |
7563
9.82 IPS |
|
|
Style Transfer (Q)
|
98% |
14385
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3364
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
690
921.1 IPS |
|
|
Text Classification (HP)
|
99% |
689
919.8 IPS |
|
|
Text Classification (Q)
|
88% |
527
711.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1252
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
50% |
480
17.0 IPS |
