OPPO CPH2159
Geekbench AI Score
513
Single Precision Score
515
Half Precision Score
993
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 07:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2159 |
| Model ID | OPPO CPH2159 |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
234
43.6 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
100% |
683
126.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
739
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1116
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1700
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
674
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
696
8.28 IPS |
|
|
Face Detection (HP)
|
100% |
692
8.23 IPS |
|
|
Face Detection (Q)
|
95% |
1535
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
922
7.10 IPS |
|
|
Depth Estimation (Q)
|
64% |
1567
14.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1899
2.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1915
2.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3896
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
960
35.6 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.2 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.1 IPS |
|
|
Text Classification (Q)
|
88% |
530
715.0 IPS |
|
|
Machine Translation (SP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
50% |
340
12.1 IPS |
