OnePlus CPH2649
Geekbench AI Score
2744
Single Precision Score
4351
Half Precision Score
3716
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 06:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 22.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1711
318.3 IPS |
|
|
Image Classification (HP)
|
100% |
2577
479.3 IPS |
|
|
Image Classification (Q)
|
100% |
2703
502.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3398
55.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6160
99.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5816
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12704
14.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
23174
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
22608
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
99% |
2185
173.3 IPS |
|
|
Object Detection (Q)
|
85% |
2067
166.4 IPS |
|
|
Face Detection (SP)
|
100% |
5527
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
10195
121.1 IPS |
|
|
Face Detection (Q)
|
97% |
8345
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6614
51.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9073
70.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7023
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16082
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36478
46.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36572
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3550
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5789
213.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6068
224.9 IPS |
|
|
Text Classification (SP)
|
35% |
95
930.0 IPS |
|
|
Text Classification (HP)
|
35% |
86
782.6 IPS |
|
|
Text Classification (Q)
|
33% |
72
807.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (Q)
|
48% |
730
28.0 IPS |
