OPPO CPH2671
Geekbench AI Score
2670
Single Precision Score
4355
Half Precision Score
3615
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 02:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1542
286.8 IPS |
|
|
Image Classification (HP)
|
100% |
2482
461.6 IPS |
|
|
Image Classification (Q)
|
100% |
2126
395.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2861
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6246
101.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5821
94.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12807
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23054
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22484
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1612
127.9 IPS |
|
|
Object Detection (HP)
|
99% |
2217
175.9 IPS |
|
|
Object Detection (Q)
|
85% |
2114
170.2 IPS |
|
|
Face Detection (SP)
|
100% |
5454
64.8 IPS |
|
|
Face Detection (HP)
|
100% |
10131
120.4 IPS |
|
|
Face Detection (Q)
|
97% |
8676
103.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6728
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9128
70.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
7099
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16216
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36339
46.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36147
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3559
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5815
214.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5537
205.2 IPS |
|
|
Text Classification (SP)
|
35% |
89
862.6 IPS |
|
|
Text Classification (HP)
|
35% |
87
787.2 IPS |
|
|
Text Classification (Q)
|
33% |
72
805.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1825
31.4 IPS |
|
|
Machine Translation (Q)
|
48% |
731
28.1 IPS |
