OPPO CPH2743
Geekbench AI Score
824
Single Precision Score
804
Half Precision Score
1370
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 17 2025 04:38 PM |
| Views | 3 |
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 | 11.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
100% |
1337
248.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
503
8.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
458
7.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1276
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1907
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1890
2.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
3457
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
83% |
1295
104.6 IPS |
|
|
Face Detection (SP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (Q)
|
95% |
3164
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
917
7.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
791
6.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
3171
29.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3388
4.40 IPS |
|
|
Style Transfer (HP)
|
89% |
3378
4.38 IPS |
|
|
Style Transfer (Q)
|
98% |
7892
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
800
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1898
70.3 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.1 IPS |
|
|
Text Classification (HP)
|
100% |
474
632.2 IPS |
|
|
Text Classification (Q)
|
88% |
884
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
23
0.82 IPS |
