OPPO CPH2371
Geekbench AI Score
537
Single Precision Score
534
Half Precision Score
1092
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | _Midnight71_ |
| Upload Date | May 07 2025 10:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6877V/ZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2371 |
| Model ID | OPPO CPH2371 |
| Motherboard | k6877v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6877V/ZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
100% |
714
132.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
810
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1078
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1083
1.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
1818
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
83% |
693
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.01 IPS |
|
|
Face Detection (Q)
|
95% |
1738
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1010
7.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
1012
7.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
1689
15.5 IPS |
|
|
Style Transfer (SP)
|
89% |
2011
2.61 IPS |
|
|
Style Transfer (HP)
|
89% |
1996
2.59 IPS |
|
|
Style Transfer (Q)
|
98% |
4293
5.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
549
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1017
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
302
403.6 IPS |
|
|
Text Classification (HP)
|
100% |
303
405.1 IPS |
|
|
Text Classification (Q)
|
88% |
660
889.7 IPS |
|
|
Machine Translation (SP)
|
100% |
444
7.66 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (Q)
|
50% |
392
13.9 IPS |
