OnePlus CPH2649
Geekbench AI Score
998
Single Precision Score
1057
Half Precision Score
1628
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 02:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
764
142.0 IPS |
|
|
Image Classification (Q)
|
100% |
1595
296.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2273
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1703
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1737
2.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
4543
5.39 IPS |
|
|
Object Detection (SP)
|
98% |
546
43.4 IPS |
|
|
Object Detection (HP)
|
98% |
573
45.6 IPS |
|
|
Object Detection (Q)
|
83% |
1238
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
1591
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
2683
32.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1894
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2154
16.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4865
44.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5337
6.93 IPS |
|
|
Style Transfer (HP)
|
89% |
4967
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
5499
7.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
860
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1743
64.6 IPS |
|
|
Text Classification (SP)
|
100% |
278
370.7 IPS |
|
|
Text Classification (HP)
|
99% |
259
345.2 IPS |
|
|
Text Classification (Q)
|
88% |
291
392.8 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
50% |
177
6.29 IPS |
