OPPO CPH2651
Geekbench AI Score
1711
Single Precision Score
1687
Half Precision Score
2106
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Limitless |
| Upload Date | December 15 2024 10:41 AM |
| Views | 4 |
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% |
1089
202.5 IPS |
|
|
Image Classification (HP)
|
100% |
1044
194.2 IPS |
|
|
Image Classification (Q)
|
100% |
1682
312.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1924
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2575
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2583
3.01 IPS |
|
|
Pose Estimation (Q)
|
84% |
4829
5.73 IPS |
|
|
Object Detection (SP)
|
98% |
1070
85.2 IPS |
|
|
Object Detection (HP)
|
98% |
1013
80.6 IPS |
|
|
Object Detection (Q)
|
83% |
1425
115.1 IPS |
|
|
Face Detection (SP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (Q)
|
95% |
3541
42.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3009
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3025
23.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3857
35.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6000
7.79 IPS |
|
|
Style Transfer (HP)
|
89% |
5929
7.70 IPS |
|
|
Style Transfer (Q)
|
98% |
10799
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1303
48.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2301
85.3 IPS |
|
|
Text Classification (SP)
|
100% |
592
789.7 IPS |
|
|
Text Classification (HP)
|
99% |
589
786.6 IPS |
|
|
Text Classification (Q)
|
88% |
590
795.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
