OPPO CPH2651
Geekbench AI Score
913
Single Precision Score
1010
Half Precision Score
1009
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Limitless |
| Upload Date | December 15 2024 10:48 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% |
413
76.9 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
99% |
506
94.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1266
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1502
1.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
1471
1.72 IPS |
|
|
Object Detection (SP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (Q)
|
83% |
561
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
1892
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2227
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
1956
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1524
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1923
14.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
1549
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4573
5.88 IPS |
|
|
Style Transfer (HP)
|
100% |
6552
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
6451
8.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
757
27.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
900
33.4 IPS |
|
|
Text Classification (SP)
|
100% |
408
543.9 IPS |
|
|
Text Classification (HP)
|
100% |
407
542.6 IPS |
|
|
Text Classification (Q)
|
91% |
557
749.3 IPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
202
3.47 IPS |
|
|
Machine Translation (Q)
|
57% |
212
5.17 IPS |
