OPPO CPH2651
Geekbench AI Score
1762
Single Precision Score
1787
Half Precision Score
2555
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 15.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1153
214.5 IPS |
|
|
Image Classification (HP)
|
100% |
1231
228.9 IPS |
|
|
Image Classification (Q)
|
100% |
1836
341.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1966
32.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2586
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2598
3.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
4937
5.86 IPS |
|
|
Object Detection (SP)
|
98% |
1091
86.8 IPS |
|
|
Object Detection (HP)
|
98% |
1085
86.3 IPS |
|
|
Object Detection (Q)
|
83% |
1799
145.4 IPS |
|
|
Face Detection (SP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2559
30.4 IPS |
|
|
Face Detection (Q)
|
95% |
4038
48.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3065
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3082
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4177
38.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6008
7.80 IPS |
|
|
Style Transfer (HP)
|
89% |
6048
7.85 IPS |
|
|
Style Transfer (Q)
|
98% |
10815
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1424
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1415
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2662
98.6 IPS |
|
|
Text Classification (SP)
|
100% |
607
810.7 IPS |
|
|
Text Classification (HP)
|
99% |
608
812.1 IPS |
|
|
Text Classification (Q)
|
88% |
1093
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (Q)
|
50% |
697
24.7 IPS |
