OnePlus CPH2649
Geekbench AI Score
2524
Single Precision Score
3837
Half Precision Score
3319
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 18 2025 03:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
2153
400.3 IPS |
|
|
Image Classification (Q)
|
100% |
2109
392.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2991
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5139
83.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4500
73.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12813
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
22851
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
22478
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
99% |
1910
151.5 IPS |
|
|
Object Detection (Q)
|
85% |
1981
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
7140
84.8 IPS |
|
|
Face Detection (Q)
|
97% |
7368
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6587
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8963
69.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6937
67.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16192
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35264
45.3 IPS |
|
|
Style Transfer (Q)
|
98% |
34774
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3463
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5701
211.3 IPS |
|
|
Text Classification (SP)
|
35% |
67
653.8 IPS |
|
|
Text Classification (HP)
|
35% |
70
638.3 IPS |
|
|
Text Classification (Q)
|
33% |
56
629.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1728
29.8 IPS |
|
|
Machine Translation (Q)
|
48% |
678
26.0 IPS |
