OPPO CPH2743
Geekbench AI Score
128
Single Precision Score
128
Half Precision Score
8277
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | batu69 |
| Upload Date | September 09 2025 05:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
72
13.3 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.5 IPS |
|
|
Image Classification (Q)
|
97% |
8277
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
102
1.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
5742
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
128
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
128
0.15 IPS |
|
|
Pose Estimation (Q)
|
98% |
21222
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
73
5.77 IPS |
|
|
Object Detection (HP)
|
100% |
73
5.76 IPS |
|
|
Object Detection (Q)
|
86% |
3626
291.5 IPS |
|
|
Face Detection (SP)
|
100% |
215
2.55 IPS |
|
|
Face Detection (HP)
|
100% |
216
2.57 IPS |
|
|
Face Detection (Q)
|
97% |
21196
252.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
170
1.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
170
1.31 IPS |
|
|
Depth Estimation (Q)
|
63% |
16374
153.3 IPS |
|
|
Style Transfer (SP)
|
100% |
312
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
311
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
46403
59.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
79
2.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
80
2.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11403
422.5 IPS |
|
|
Text Classification (SP)
|
100% |
107
143.3 IPS |
|
|
Text Classification (HP)
|
100% |
107
143.4 IPS |
|
|
Text Classification (Q)
|
93% |
3492
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (Q)
|
55% |
644
16.9 IPS |
