OPPO CPH2791
Geekbench AI Score
243
Single Precision Score
239
Half Precision Score
524
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 24 2026 12:09 AM |
| Views | 2 |
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% |
406
75.4 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
99% |
297
55.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
322
5.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
1674
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
102
8.06 IPS |
|
|
Object Detection (HP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (Q)
|
87% |
315
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
486
5.77 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
97% |
711
8.48 IPS |
|
|
Depth Estimation (SP)
|
100% |
237
1.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
239
1.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
625
5.68 IPS |
|
|
Style Transfer (SP)
|
100% |
486
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
607
0.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1881
2.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
119
4.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
409
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
156
208.5 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.4 IPS |
|
|
Text Classification (Q)
|
91% |
334
448.4 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.74 IPS |
