OnePlus CPH2649
Geekbench AI Score
2654
Single Precision Score
4238
Half Precision Score
3566
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 07:42 AM |
| 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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1608
299.1 IPS |
|
|
Image Classification (HP)
|
100% |
2430
451.9 IPS |
|
|
Image Classification (Q)
|
100% |
2469
459.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6479
105.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5838
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12756
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
23115
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
22670
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1480
117.4 IPS |
|
|
Object Detection (HP)
|
99% |
2096
166.2 IPS |
|
|
Object Detection (Q)
|
85% |
1968
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
5358
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
10152
120.6 IPS |
|
|
Face Detection (Q)
|
97% |
7686
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6592
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8970
69.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
6926
67.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16216
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35224
45.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35860
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3447
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5886
217.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5915
219.2 IPS |
|
|
Text Classification (SP)
|
35% |
100
976.0 IPS |
|
|
Text Classification (HP)
|
35% |
84
759.7 IPS |
|
|
Text Classification (Q)
|
33% |
69
767.5 IPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1546
26.6 IPS |
|
|
Machine Translation (Q)
|
48% |
665
25.5 IPS |
