OPPO CPH2009
Geekbench AI Score
531
Single Precision Score
520
Half Precision Score
997
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 12 2024 06:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | OPPO CPH2009 |
| Model ID | OPPO CPH2009 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
240
44.6 IPS |
|
|
Image Classification (Q)
|
100% |
672
124.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1150
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1170
1.36 IPS |
|
|
Pose Estimation (Q)
|
84% |
1679
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.8 IPS |
|
|
Object Detection (Q)
|
83% |
673
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
688
8.17 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (Q)
|
95% |
1526
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
947
7.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
881
6.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1531
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1891
2.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1791
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3831
4.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
943
34.9 IPS |
|
|
Text Classification (SP)
|
100% |
282
376.2 IPS |
|
|
Text Classification (HP)
|
100% |
280
373.2 IPS |
|
|
Text Classification (Q)
|
88% |
556
750.1 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.31 IPS |
|
|
Machine Translation (Q)
|
50% |
364
12.9 IPS |
