OPPO CPH2791
Geekbench AI Score
165
Single Precision Score
154
Half Precision Score
326
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 11:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OPPO CPH2791 |
| Model ID | OPPO CPH2791 |
| Motherboard | k6993v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3468 revision 0 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 4 Cores @ 2.70 GHz |
| Cluster 2 | 3 Cores @ 3.50 GHz |
| Cluster 3 | 1 Core @ 4.21 GHz |
| Memory Information | |
|---|---|
| Size | 14.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
78
14.5 IPS |
|
|
Image Classification (Q)
|
99% |
196
36.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
104
1.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
111
1.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
221
3.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
132
0.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
163
0.19 IPS |
|
|
Pose Estimation (Q)
|
98% |
538
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
89
7.02 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.32 IPS |
|
|
Object Detection (Q)
|
87% |
223
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
234
2.78 IPS |
|
|
Face Detection (HP)
|
100% |
234
2.78 IPS |
|
|
Face Detection (Q)
|
97% |
478
5.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
180
1.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
183
1.41 IPS |
|
|
Depth Estimation (Q)
|
64% |
449
4.07 IPS |
|
|
Style Transfer (SP)
|
100% |
305
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
402
0.52 IPS |
|
|
Style Transfer (Q)
|
98% |
955
1.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
189
6.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
313
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
117
156.1 IPS |
|
|
Text Classification (HP)
|
100% |
116
155.3 IPS |
|
|
Text Classification (Q)
|
91% |
224
300.8 IPS |
|
|
Machine Translation (SP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.21 IPS |
|
|
Machine Translation (Q)
|
57% |
184
4.49 IPS |
