OPPO CPH2439
Geekbench AI Score
1103
Single Precision Score
1031
Half Precision Score
2537
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 01:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO CPH2439 |
| Model ID | OPPO CPH2439 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.98 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
501
93.1 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.5 IPS |
|
|
Image Classification (Q)
|
100% |
1777
330.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2125
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2416
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2422
2.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
5513
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
473
37.5 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
83% |
1760
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (Q)
|
95% |
3959
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2195
16.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2192
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4110
37.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3989
5.18 IPS |
|
|
Style Transfer (HP)
|
89% |
3994
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
11258
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1181
43.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2791
103.4 IPS |
|
|
Text Classification (SP)
|
100% |
526
701.9 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.1 IPS |
|
|
Text Classification (Q)
|
88% |
972
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
50% |
608
21.6 IPS |
