OnePlus CPH2649
Geekbench AI Score
2112
Single Precision Score
2161
Half Precision Score
3341
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 02:37 PM |
| Views | 1 |
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% |
1522
283.1 IPS |
|
|
Image Classification (HP)
|
100% |
1595
296.6 IPS |
|
|
Image Classification (Q)
|
100% |
2667
496.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3899
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4569
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4542
5.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
11371
13.5 IPS |
|
|
Object Detection (SP)
|
98% |
1218
96.9 IPS |
|
|
Object Detection (HP)
|
98% |
1222
97.2 IPS |
|
|
Object Detection (Q)
|
83% |
2788
225.2 IPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (Q)
|
95% |
6460
77.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3497
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3672
28.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6858
62.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9127
11.8 IPS |
|
|
Style Transfer (HP)
|
89% |
8203
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16849
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1690
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3375
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
651
868.9 IPS |
|
|
Text Classification (HP)
|
99% |
621
829.0 IPS |
|
|
Text Classification (Q)
|
88% |
521
702.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
