OPPO CPH2643
Geekbench AI Score
345
Single Precision Score
322
Half Precision Score
561
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 22 2025 06:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2643 |
| Model ID | OPPO CPH2643 |
| Motherboard | k6877v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.4 IPS |
|
|
Image Classification (Q)
|
100% |
385
71.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
432
7.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
669
0.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
900
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
83% |
366
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
444
5.28 IPS |
|
|
Face Detection (HP)
|
100% |
446
5.29 IPS |
|
|
Face Detection (Q)
|
95% |
870
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
574
4.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
588
4.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
850
7.79 IPS |
|
|
Style Transfer (SP)
|
89% |
1107
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1105
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2149
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
309
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
516
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
151
202.1 IPS |
|
|
Text Classification (HP)
|
100% |
152
203.3 IPS |
|
|
Text Classification (Q)
|
88% |
312
421.1 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.48 IPS |
|
|
Machine Translation (Q)
|
50% |
222
7.87 IPS |
