OPPO CPH2521
Geekbench AI Score
762
Single Precision Score
1142
Half Precision Score
1150
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 04:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO CPH2521 |
| Model ID | OPPO CPH2521 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
582
108.3 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.4 IPS |
|
|
Image Classification (Q)
|
97% |
641
119.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1646
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
752
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1359
1.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
1361
1.60 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
89% |
702
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
1814
21.6 IPS |
|
|
Face Detection (HP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
2460
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1157
8.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
2654
20.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2124
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2977
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
6591
8.47 IPS |
|
|
Style Transfer (Q)
|
98% |
6730
8.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
389
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
518
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.2 IPS |
|
|
Text Classification (HP)
|
100% |
284
379.1 IPS |
|
|
Text Classification (Q)
|
91% |
515
692.7 IPS |
|
|
Machine Translation (SP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.12 IPS |
|
|
Machine Translation (Q)
|
57% |
430
10.5 IPS |
