OPPO CPH2651
Geekbench AI Score
1701
Single Precision Score
1724
Half Precision Score
2523
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 13 2025 03:27 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OPPO CPH2651 |
| Model ID | OPPO CPH2651 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 11.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1039
193.2 IPS |
|
|
Image Classification (HP)
|
100% |
1107
205.9 IPS |
|
|
Image Classification (Q)
|
100% |
1807
336.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1977
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2502
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2508
2.93 IPS |
|
|
Pose Estimation (Q)
|
84% |
4916
5.83 IPS |
|
|
Object Detection (SP)
|
98% |
1044
83.1 IPS |
|
|
Object Detection (HP)
|
98% |
1085
86.3 IPS |
|
|
Object Detection (Q)
|
83% |
1641
132.5 IPS |
|
|
Face Detection (SP)
|
100% |
2391
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (Q)
|
95% |
3980
47.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2985
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2983
23.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4106
37.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5873
7.62 IPS |
|
|
Style Transfer (HP)
|
89% |
5775
7.50 IPS |
|
|
Style Transfer (Q)
|
98% |
10610
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1356
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2661
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
604
806.0 IPS |
|
|
Text Classification (HP)
|
99% |
601
802.5 IPS |
|
|
Text Classification (Q)
|
88% |
1112
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1613
27.8 IPS |
|
|
Machine Translation (Q)
|
50% |
707
25.1 IPS |
