OPPO CPH2521
Geekbench AI Score
334
Single Precision Score
335
Half Precision Score
820
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 12 2025 04:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
192
35.7 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
99% |
549
102.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
594
9.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
365
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (Q)
|
98% |
1414
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.4 IPS |
|
|
Object Detection (HP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (Q)
|
87% |
589
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
526
6.25 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.30 IPS |
|
|
Face Detection (Q)
|
97% |
1299
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
445
3.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
451
3.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
1118
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
755
0.97 IPS |
|
|
Style Transfer (Q)
|
98% |
1955
2.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
214
7.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
212
7.83 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
804
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.5 IPS |
|
|
Text Classification (HP)
|
100% |
286
382.4 IPS |
|
|
Text Classification (Q)
|
91% |
517
695.2 IPS |
|
|
Machine Translation (SP)
|
100% |
468
8.05 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
57% |
430
10.5 IPS |
