OPPO CPH2651
Geekbench AI Score
2444
Single Precision Score
2415
Half Precision Score
3527
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 02:58 AM |
| Views | 3 |
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% |
1683
313.0 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.9 IPS |
|
|
Image Classification (Q)
|
100% |
2805
521.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3078
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3912
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3341
3.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
6562
7.78 IPS |
|
|
Object Detection (SP)
|
98% |
1462
116.4 IPS |
|
|
Object Detection (HP)
|
98% |
1478
117.6 IPS |
|
|
Object Detection (Q)
|
83% |
2381
192.3 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3404
40.4 IPS |
|
|
Face Detection (Q)
|
95% |
5410
64.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
4020
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3974
30.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5562
50.9 IPS |
|
|
Style Transfer (SP)
|
89% |
7880
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
8003
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14528
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1861
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3556
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (HP)
|
99% |
842
1.12 KIPS |
|
|
Text Classification (Q)
|
88% |
1512
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2093
36.1 IPS |
|
|
Machine Translation (Q)
|
50% |
941
33.4 IPS |
