OPPO CPH2791
Geekbench AI Score
160
Single Precision Score
161
Half Precision Score
396
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 12:50 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% |
268
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.6 IPS |
|
|
Image Classification (Q)
|
99% |
340
63.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
114
1.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
280
4.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
207
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
960
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
75
5.94 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
87% |
205
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (HP)
|
100% |
227
2.70 IPS |
|
|
Face Detection (Q)
|
97% |
480
5.72 IPS |
|
|
Depth Estimation (SP)
|
100% |
151
1.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
239
1.84 IPS |
|
|
Depth Estimation (Q)
|
64% |
718
6.52 IPS |
|
|
Style Transfer (SP)
|
100% |
379
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
390
0.50 IPS |
|
|
Style Transfer (Q)
|
98% |
1031
1.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
100
3.68 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
93
3.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
325
12.1 IPS |
|
|
Text Classification (SP)
|
100% |
116
154.2 IPS |
|
|
Text Classification (HP)
|
100% |
116
155.0 IPS |
|
|
Text Classification (Q)
|
91% |
202
271.3 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.26 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.28 IPS |
|
|
Machine Translation (Q)
|
57% |
222
5.43 IPS |
