OPPO CPH2617
Geekbench AI Score
504
Single Precision Score
505
Half Precision Score
925
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 23 2025 05:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO CPH2617 |
| Model ID | OPPO CPH2617 |
| Motherboard | k6833v1_64_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT6833 |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.3 IPS |
|
|
Image Classification (Q)
|
100% |
646
120.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
284
4.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
710
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1113
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1096
1.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
1640
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
647
52.3 IPS |
|
|
Face Detection (SP)
|
100% |
704
8.37 IPS |
|
|
Face Detection (HP)
|
100% |
710
8.44 IPS |
|
|
Face Detection (Q)
|
95% |
1379
16.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
924
7.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
905
6.97 IPS |
|
|
Depth Estimation (Q)
|
64% |
1431
13.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1794
2.33 IPS |
|
|
Style Transfer (HP)
|
89% |
1796
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3572
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
868
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.1 IPS |
|
|
Text Classification (HP)
|
100% |
259
345.8 IPS |
|
|
Text Classification (Q)
|
88% |
473
637.8 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.90 IPS |
|
|
Machine Translation (Q)
|
50% |
329
11.7 IPS |
