Phone - OPPO CPH2211 OPPO CPH2211
Geekbench AI Score
198
Single Precision Score
264
Half Precision Score
263
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kecskesajt |
| Upload Date | February 06 2025 03:22 PM |
| Views | 8 |
| Notes | OPPO Reno5 Z 5G, MediaTek Dimensity 800U, Mali-G57 MC3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
128
23.8 IPS |
|
|
Image Classification (HP)
|
100% |
210
39.0 IPS |
|
|
Image Classification (Q)
|
99% |
180
33.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
304
4.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
137
0.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
159
0.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
159
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
97
7.71 IPS |
|
|
Object Detection (HP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (Q)
|
83% |
181
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
381
4.53 IPS |
|
|
Face Detection (HP)
|
100% |
543
6.45 IPS |
|
|
Face Detection (Q)
|
97% |
506
6.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
326
2.51 IPS |
|
|
Depth Estimation (Q)
|
62% |
263
2.49 IPS |
|
|
Style Transfer (SP)
|
100% |
510
0.66 IPS |
|
|
Style Transfer (HP)
|
100% |
694
0.89 IPS |
|
|
Style Transfer (Q)
|
98% |
693
0.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
123
4.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
182
6.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
184
6.81 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.8 IPS |
|
|
Text Classification (HP)
|
100% |
169
225.5 IPS |
|
|
Text Classification (Q)
|
91% |
275
369.3 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.92 IPS |
|
|
Machine Translation (Q)
|
57% |
222
5.41 IPS |
