OPPO CPH2343
Geekbench AI Score
549
Single Precision Score
549
Half Precision Score
1064
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 05:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2343 |
| Model ID | OPPO CPH2343 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
100% |
722
134.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
312
5.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
825
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1733
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (Q)
|
83% |
716
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
770
9.14 IPS |
|
|
Face Detection (Q)
|
95% |
1720
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1018
7.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1019
7.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1615
14.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2030
2.64 IPS |
|
|
Style Transfer (HP)
|
89% |
2028
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4038
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1004
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.5 IPS |
|
|
Text Classification (HP)
|
100% |
287
383.3 IPS |
|
|
Text Classification (Q)
|
88% |
587
791.4 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (HP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (Q)
|
50% |
383
13.6 IPS |
