Phone - OPPO CPH2211 OPPO CPH2211
Geekbench AI Score
503
Single Precision Score
519
Half Precision Score
1011
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kecskesajt |
| Upload Date | February 06 2025 02:54 PM |
| Views | 8 |
| Notes | OPPO Reno5 Z 5G, MediaTek Dimensity 800U, Mali-G57 MC3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6853V/TNZA |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO CPH2211 |
| Model ID | OPPO CPH2211 |
| Motherboard | k6853v1_64_6360 |
| CPU Information | |
|---|---|
| Name | ARM MT6853V/TNZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.1 IPS |
|
|
Image Classification (Q)
|
100% |
688
127.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
749
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1136
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1139
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1720
2.04 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
83% |
693
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
712
8.46 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (Q)
|
95% |
1567
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
649
5.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
851
6.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1589
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1896
2.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1910
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3905
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
957
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
298
397.8 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.8 IPS |
|
|
Text Classification (Q)
|
88% |
556
750.1 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
50% |
354
12.6 IPS |
