OPPO CPH2791
Geekbench AI Score
266
Single Precision Score
281
Half Precision Score
536
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 11:55 AM |
| Views | 2 |
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% |
402
74.7 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.2 IPS |
|
|
Image Classification (Q)
|
99% |
291
54.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
322
5.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
408
0.48 IPS |
|
|
Pose Estimation (Q)
|
98% |
1609
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (Q)
|
87% |
661
53.1 IPS |
|
|
Face Detection (SP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (HP)
|
100% |
332
3.95 IPS |
|
|
Face Detection (Q)
|
97% |
699
8.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
465
3.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
625
5.67 IPS |
|
|
Style Transfer (SP)
|
100% |
821
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
841
1.08 IPS |
|
|
Style Transfer (Q)
|
98% |
1203
1.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
121
4.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
118
4.36 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
411
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.3 IPS |
|
|
Text Classification (HP)
|
100% |
150
200.7 IPS |
|
|
Text Classification (Q)
|
91% |
334
449.5 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (Q)
|
57% |
277
6.76 IPS |
