OPPO CPH2671
Geekbench AI Score
1294
Single Precision Score
1492
Half Precision Score
2296
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 12 2025 11:59 AM |
| Views | 1 |
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 | 14.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
231
42.9 IPS |
|
|
Image Classification (HP)
|
100% |
1067
198.5 IPS |
|
|
Image Classification (Q)
|
100% |
534
99.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2782
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2792
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2609
3.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
6235
7.39 IPS |
|
|
Object Detection (SP)
|
98% |
967
76.9 IPS |
|
|
Object Detection (HP)
|
98% |
946
75.3 IPS |
|
|
Object Detection (Q)
|
83% |
1997
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
2632
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
4888
58.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2411
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2433
18.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4793
43.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5582
7.25 IPS |
|
|
Style Transfer (HP)
|
89% |
5489
7.13 IPS |
|
|
Style Transfer (Q)
|
98% |
12665
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3124
115.8 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.5 IPS |
|
|
Text Classification (HP)
|
99% |
461
614.7 IPS |
|
|
Text Classification (Q)
|
88% |
574
774.8 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
415
14.7 IPS |
