OPPO CPH2651
Geekbench AI Score
1005
Single Precision Score
1095
Half Precision Score
1138
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 03:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
400
74.3 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.2 IPS |
|
|
Image Classification (Q)
|
99% |
577
107.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1346
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
974
1.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
1509
1.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
1496
1.75 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
83% |
589
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
2127
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1532
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1954
15.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
1580
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4538
5.83 IPS |
|
|
Style Transfer (HP)
|
100% |
6575
8.45 IPS |
|
|
Style Transfer (Q)
|
98% |
6506
8.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
941
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1049
38.9 IPS |
|
|
Text Classification (SP)
|
100% |
596
795.8 IPS |
|
|
Text Classification (HP)
|
100% |
598
798.5 IPS |
|
|
Text Classification (Q)
|
91% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
57% |
285
6.96 IPS |
