OPPO CPH2651
Geekbench AI Score
1748
Single Precision Score
1751
Half Precision Score
2541
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 09 2025 07:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OPPO CPH2651 |
| Model ID | OPPO CPH2651 |
| Motherboard | k6991v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores @ 2.40 GHz |
| Cluster 2 | 3 Cores @ 3.30 GHz |
| Cluster 3 | 1 Core @ 3.63 GHz |
| Memory Information | |
|---|---|
| Size | 15.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1078
200.5 IPS |
|
|
Image Classification (HP)
|
100% |
1148
213.4 IPS |
|
|
Image Classification (Q)
|
100% |
1832
340.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1974
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2584
3.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2592
3.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
4920
5.84 IPS |
|
|
Object Detection (SP)
|
98% |
1164
92.6 IPS |
|
|
Object Detection (HP)
|
98% |
1036
82.4 IPS |
|
|
Object Detection (Q)
|
83% |
1734
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (Q)
|
95% |
3997
47.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3098
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3060
23.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4153
38.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5976
7.76 IPS |
|
|
Style Transfer (HP)
|
89% |
5995
7.78 IPS |
|
|
Style Transfer (Q)
|
98% |
10723
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1391
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2665
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
610
814.4 IPS |
|
|
Text Classification (HP)
|
99% |
603
805.3 IPS |
|
|
Text Classification (Q)
|
88% |
1102
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (Q)
|
50% |
696
24.7 IPS |
