OPPO CPH2159
Geekbench AI Score
525
Single Precision Score
529
Half Precision Score
1008
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 07:44 AM |
| 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% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.5 IPS |
|
|
Image Classification (Q)
|
100% |
693
128.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
293
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1166
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1156
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1705
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
239
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
83% |
693
56.0 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.48 IPS |
|
|
Face Detection (HP)
|
100% |
719
8.54 IPS |
|
|
Face Detection (Q)
|
95% |
1569
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
956
7.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
963
7.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
1588
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1842
2.39 IPS |
|
|
Style Transfer (HP)
|
89% |
1920
2.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3916
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
971
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
274
366.1 IPS |
|
|
Text Classification (HP)
|
100% |
286
382.1 IPS |
|
|
Text Classification (Q)
|
88% |
536
723.5 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
50% |
347
12.3 IPS |
