OnePlus CPH2649
Geekbench AI Score
2180
Single Precision Score
2167
Half Precision Score
3627
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 07 2025 03:21 PM |
| Views | 4 |
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% |
1537
285.8 IPS |
|
|
Image Classification (HP)
|
100% |
1610
299.4 IPS |
|
|
Image Classification (Q)
|
100% |
3219
598.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1920
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4596
74.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4341
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4199
4.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
11258
13.4 IPS |
|
|
Object Detection (SP)
|
98% |
1327
105.6 IPS |
|
|
Object Detection (HP)
|
98% |
1209
96.2 IPS |
|
|
Object Detection (Q)
|
83% |
2795
225.8 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (Q)
|
95% |
6496
77.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3389
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3423
26.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
7201
66.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8575
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
8432
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17285
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3275
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.6 IPS |
|
|
Text Classification (HP)
|
99% |
737
983.4 IPS |
|
|
Text Classification (Q)
|
88% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
428
15.2 IPS |
