OPPO CPH2791
Geekbench AI Score
219
Single Precision Score
197
Half Precision Score
481
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 29 2025 03:24 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% |
401
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.5 IPS |
|
|
Image Classification (Q)
|
99% |
628
117.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
313
5.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
234
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
232
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
655
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.15 IPS |
|
|
Object Detection (HP)
|
100% |
105
8.29 IPS |
|
|
Object Detection (Q)
|
87% |
289
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
325
3.86 IPS |
|
|
Face Detection (HP)
|
100% |
327
3.88 IPS |
|
|
Face Detection (Q)
|
97% |
683
8.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
239
1.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
613
5.56 IPS |
|
|
Style Transfer (SP)
|
100% |
522
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
774
0.99 IPS |
|
|
Style Transfer (Q)
|
98% |
1174
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
116
4.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
404
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
144
191.6 IPS |
|
|
Text Classification (HP)
|
100% |
143
190.8 IPS |
|
|
Text Classification (Q)
|
91% |
320
430.3 IPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.38 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.96 IPS |
