OPPO CPH2743
Geekbench AI Score
816
Single Precision Score
811
Half Precision Score
1371
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 21 2025 08:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2743 |
| Model ID | OPPO CPH2743 |
| Motherboard | parrot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
100% |
1333
248.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
515
8.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
1540
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1916
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1925
2.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
3437
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
427
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
83% |
1293
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
95% |
3160
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
672
5.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
638
4.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
3136
28.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3489
4.53 IPS |
|
|
Style Transfer (HP)
|
89% |
3486
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
7894
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
857
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
856
31.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1890
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
472
629.9 IPS |
|
|
Text Classification (HP)
|
100% |
466
621.7 IPS |
|
|
Text Classification (Q)
|
88% |
874
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.2 IPS |
|
|
Machine Translation (Q)
|
50% |
20
0.72 IPS |
