OPPO CPH2607
Geekbench AI Score
903
Single Precision Score
941
Half Precision Score
1800
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 03:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2607 |
| Model ID | OPPO CPH2607 |
| Motherboard | k6895v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.3 IPS |
|
|
Image Classification (Q)
|
100% |
1386
257.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1626
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1791
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
3131
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (Q)
|
83% |
1164
94.0 IPS |
|
|
Face Detection (SP)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (Q)
|
95% |
2814
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1323
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1536
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2924
26.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3562
4.62 IPS |
|
|
Style Transfer (HP)
|
89% |
3644
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
7564
9.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1745
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
506
676.0 IPS |
|
|
Text Classification (HP)
|
100% |
517
690.5 IPS |
|
|
Text Classification (Q)
|
88% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
446
15.8 IPS |
