OPPO CPH2791
Geekbench AI Score
222
Single Precision Score
193
Half Precision Score
469
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 10:15 AM |
| 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% |
341
63.4 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.7 IPS |
|
|
Image Classification (Q)
|
99% |
249
46.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
291
4.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
174
0.20 IPS |
|
|
Pose Estimation (Q)
|
98% |
742
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
94
7.42 IPS |
|
|
Object Detection (HP)
|
100% |
95
7.55 IPS |
|
|
Object Detection (Q)
|
87% |
279
22.4 IPS |
|
|
Face Detection (SP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
97% |
631
7.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
213
1.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
211
1.63 IPS |
|
|
Depth Estimation (Q)
|
64% |
1122
10.2 IPS |
|
|
Style Transfer (SP)
|
100% |
367
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
741
0.95 IPS |
|
|
Style Transfer (Q)
|
98% |
1680
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
248
9.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
111
4.08 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
376
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
140
186.5 IPS |
|
|
Text Classification (HP)
|
100% |
138
183.7 IPS |
|
|
Text Classification (Q)
|
91% |
304
408.1 IPS |
|
|
Machine Translation (SP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
57% |
255
6.23 IPS |
