OPPO CPH2743
Geekbench AI Score
398
Single Precision Score
671
Half Precision Score
514
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | batu69 |
| Upload Date | September 09 2025 04:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
295
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
100% |
464
86.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
643
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1479
1.73 IPS |
|
|
Pose Estimation (HP)
|
99% |
2853
3.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
2815
3.30 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
99% |
362
28.8 IPS |
|
|
Object Detection (Q)
|
87% |
344
27.6 IPS |
|
|
Face Detection (SP)
|
100% |
706
8.39 IPS |
|
|
Face Detection (HP)
|
100% |
1277
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
1090
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
868
6.69 IPS |
|
|
Depth Estimation (HP)
|
98% |
1693
13.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
1273
12.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1696
2.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3633
4.67 IPS |
|
|
Style Transfer (Q)
|
98% |
3592
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
776
28.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
738
27.3 IPS |
|
|
Text Classification (SP)
|
35% |
17
161.4 IPS |
|
|
Text Classification (HP)
|
35% |
27
243.9 IPS |
|
|
Text Classification (Q)
|
33% |
20
243.9 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.42 IPS |
|
|
Machine Translation (HP)
|
97% |
315
5.45 IPS |
|
|
Machine Translation (Q)
|
43% |
61
3.49 IPS |
