OPPO CPH2743
Geekbench AI Score
128
Single Precision Score
128
Half Precision Score
361
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | batu69 |
| Upload Date | September 09 2025 05:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
74
13.7 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.8 IPS |
|
|
Image Classification (Q)
|
99% |
234
43.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
275
4.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
128
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
128
0.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
519
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
73
5.75 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.76 IPS |
|
|
Object Detection (Q)
|
87% |
244
19.6 IPS |
|
|
Face Detection (SP)
|
100% |
214
2.54 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.56 IPS |
|
|
Face Detection (Q)
|
97% |
570
6.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
170
1.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
170
1.31 IPS |
|
|
Depth Estimation (Q)
|
64% |
476
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
309
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
310
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
984
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80
2.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
80
2.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
306
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
104
139.3 IPS |
|
|
Text Classification (HP)
|
100% |
104
138.7 IPS |
|
|
Text Classification (Q)
|
91% |
255
342.1 IPS |
|
|
Machine Translation (SP)
|
100% |
183
3.16 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.16 IPS |
|
|
Machine Translation (Q)
|
57% |
227
5.54 IPS |
