OnePlus CPH2649
Geekbench AI Score
2596
Single Precision Score
4083
Half Precision Score
3394
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ArpanRay |
| Upload Date | August 27 2025 06:05 PM |
| Views | 4 |
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% |
1460
271.6 IPS |
|
|
Image Classification (HP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (Q)
|
100% |
1985
369.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2919
47.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4996
81.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4509
73.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12804
14.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
22939
26.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22692
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1485
117.8 IPS |
|
|
Object Detection (HP)
|
99% |
2051
162.7 IPS |
|
|
Object Detection (Q)
|
85% |
2007
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
5419
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
9335
110.9 IPS |
|
|
Face Detection (Q)
|
97% |
7654
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6589
50.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9067
70.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
6961
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16274
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35408
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
35913
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3476
128.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5260
194.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5180
192.0 IPS |
|
|
Text Classification (SP)
|
35% |
80
779.1 IPS |
|
|
Text Classification (HP)
|
35% |
84
760.5 IPS |
|
|
Text Classification (Q)
|
33% |
68
759.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (Q)
|
48% |
740
28.4 IPS |
