OPPO CPH2791
Geekbench AI Score
221
Single Precision Score
185
Half Precision Score
440
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 06:26 PM |
| Views | 1 |
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% |
348
64.8 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.7 IPS |
|
|
Image Classification (Q)
|
99% |
278
51.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
136
2.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
137
2.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
300
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
178
0.21 IPS |
|
|
Pose Estimation (Q)
|
98% |
818
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.78 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
87% |
283
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
284
3.38 IPS |
|
|
Face Detection (HP)
|
100% |
291
3.46 IPS |
|
|
Face Detection (Q)
|
97% |
667
7.95 IPS |
|
|
Depth Estimation (SP)
|
100% |
246
1.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
218
1.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
575
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
365
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
354
0.45 IPS |
|
|
Style Transfer (Q)
|
98% |
1177
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
257
9.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
119
4.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
405
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
150
200.0 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.6 IPS |
|
|
Text Classification (Q)
|
91% |
305
410.0 IPS |
|
|
Machine Translation (SP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (HP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (Q)
|
57% |
256
6.27 IPS |
