OPPO CPH2791
Geekbench AI Score
249
Single Precision Score
199
Half Precision Score
474
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 20 2025 12:42 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% |
377
70.1 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
99% |
281
52.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
141
2.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
311
5.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
184
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
202
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
804
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.71 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.66 IPS |
|
|
Object Detection (Q)
|
87% |
285
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
304
3.61 IPS |
|
|
Face Detection (HP)
|
100% |
307
3.65 IPS |
|
|
Face Detection (Q)
|
97% |
1251
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
490
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
226
1.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
595
5.40 IPS |
|
|
Style Transfer (SP)
|
100% |
724
0.93 IPS |
|
|
Style Transfer (HP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1145
1.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
261
9.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
144
191.8 IPS |
|
|
Text Classification (HP)
|
100% |
143
191.3 IPS |
|
|
Text Classification (Q)
|
91% |
321
431.0 IPS |
|
|
Machine Translation (SP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.47 IPS |
