OnePlus CPH2649
Geekbench AI Score
2232
Single Precision Score
2231
Half Precision Score
3752
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 21 2025 04:13 PM |
| Views | 3 |
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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
1513
281.3 IPS |
|
|
Image Classification (Q)
|
100% |
3524
655.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3857
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4528
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
4518
5.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
11787
14.0 IPS |
|
|
Object Detection (SP)
|
98% |
1277
101.6 IPS |
|
|
Object Detection (HP)
|
98% |
1283
102.1 IPS |
|
|
Object Detection (Q)
|
83% |
3007
242.9 IPS |
|
|
Face Detection (SP)
|
100% |
3678
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (Q)
|
95% |
6968
83.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3734
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3747
29.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
8033
73.6 IPS |
|
|
Style Transfer (SP)
|
89% |
8926
11.6 IPS |
|
|
Style Transfer (HP)
|
89% |
8742
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17767
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3359
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
770
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
447
15.9 IPS |
