OPPO CPH2205
Geekbench AI Score
73
Single Precision Score
143
Half Precision Score
356
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 16 2025 09:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM MT6779V/CV |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2205 |
| Model ID | OPPO CPH2205 |
| Motherboard | k79v1_64 |
| CPU Information | |
|---|---|
| Name | ARM MT6779V/CV |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
110
20.5 IPS |
|
|
Image Classification (HP)
|
100% |
54
10.1 IPS |
|
|
Image Classification (Q)
|
99% |
289
54.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
63
1.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
75
1.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
217
3.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
1261
1.48 IPS |
|
|
Object Detection (SP)
|
0% |
0
5.72 IPS |
|
|
Object Detection (HP)
|
100% |
55
4.39 IPS |
|
|
Object Detection (Q)
|
84% |
403
32.5 IPS |
|
|
Face Detection (SP)
|
100% |
211
2.51 IPS |
|
|
Face Detection (HP)
|
100% |
144
1.71 IPS |
|
|
Face Detection (Q)
|
97% |
527
6.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
139
1.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
131
1.01 IPS |
|
|
Depth Estimation (Q)
|
63% |
533
4.94 IPS |
|
|
Style Transfer (SP)
|
100% |
249
0.32 IPS |
|
|
Style Transfer (HP)
|
100% |
251
0.32 IPS |
|
|
Style Transfer (Q)
|
98% |
1179
1.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
121
4.49 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
144
5.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
18
23.9 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.6 IPS |
|
|
Text Classification (Q)
|
91% |
47
63.8 IPS |
|
|
Machine Translation (SP)
|
100% |
139
2.39 IPS |
|
|
Machine Translation (HP)
|
100% |
138
2.38 IPS |
|
|
Machine Translation (Q)
|
57% |
105
2.57 IPS |
