OPPO CPH2371
Geekbench AI Score
503
Single Precision Score
501
Half Precision Score
1015
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 01:06 PM |
| Views | 3 |
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% |
232
43.1 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
100% |
725
134.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
285
4.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
835
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1044
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
1669
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
83% |
635
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
716
8.51 IPS |
|
|
Face Detection (HP)
|
100% |
711
8.45 IPS |
|
|
Face Detection (Q)
|
95% |
1567
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
942
7.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
903
6.96 IPS |
|
|
Depth Estimation (Q)
|
64% |
1526
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1840
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1863
2.42 IPS |
|
|
Style Transfer (Q)
|
98% |
3889
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
931
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.8 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.2 IPS |
|
|
Text Classification (Q)
|
88% |
584
788.2 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
50% |
359
12.7 IPS |
