OnePlus CPH2649
Geekbench AI Score
1948
Single Precision Score
1979
Half Precision Score
3235
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 05:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2649 |
| Model ID | OnePlus CPH2649 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
1472
273.8 IPS |
|
|
Image Classification (Q)
|
100% |
3067
570.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4187
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4276
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4152
4.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
9102
10.8 IPS |
|
|
Object Detection (SP)
|
98% |
1146
91.2 IPS |
|
|
Object Detection (HP)
|
98% |
1102
87.7 IPS |
|
|
Object Detection (Q)
|
83% |
2092
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (Q)
|
95% |
6331
75.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3007
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3284
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7207
66.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7587
9.85 IPS |
|
|
Style Transfer (HP)
|
89% |
7470
9.70 IPS |
|
|
Style Transfer (Q)
|
98% |
14963
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1526
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3350
124.1 IPS |
|
|
Text Classification (SP)
|
100% |
656
875.8 IPS |
|
|
Text Classification (HP)
|
99% |
659
879.7 IPS |
|
|
Text Classification (Q)
|
88% |
548
739.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
991
17.1 IPS |
|
|
Machine Translation (Q)
|
50% |
410
14.6 IPS |
