OnePlus CPH2649
Geekbench AI Score
1926
Single Precision Score
1928
Half Precision Score
3320
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 08:23 PM |
| Views | 8 |
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% |
1530
284.4 IPS |
|
|
Image Classification (HP)
|
100% |
1449
269.4 IPS |
|
|
Image Classification (Q)
|
100% |
3352
623.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3646
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3841
4.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3778
4.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
9674
11.5 IPS |
|
|
Object Detection (SP)
|
98% |
1176
93.6 IPS |
|
|
Object Detection (HP)
|
98% |
1053
83.8 IPS |
|
|
Object Detection (Q)
|
83% |
2397
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
3051
36.2 IPS |
|
|
Face Detection (Q)
|
95% |
5941
70.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3119
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3146
24.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
6658
61.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6563
8.52 IPS |
|
|
Style Transfer (HP)
|
89% |
6502
8.44 IPS |
|
|
Style Transfer (Q)
|
98% |
14661
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1518
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3378
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
651
868.9 IPS |
|
|
Text Classification (HP)
|
99% |
678
905.1 IPS |
|
|
Text Classification (Q)
|
88% |
714
963.4 IPS |
|
|
Machine Translation (SP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
411
14.6 IPS |
