OnePlus CPH2649
Geekbench AI Score
206
Single Precision Score
195
Half Precision Score
402
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 07:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 22.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
99% |
318
59.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
238
3.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
335
5.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (Q)
|
98% |
835
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
124
9.84 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.82 IPS |
|
|
Object Detection (Q)
|
87% |
347
27.9 IPS |
|
|
Face Detection (SP)
|
100% |
344
4.09 IPS |
|
|
Face Detection (HP)
|
100% |
345
4.10 IPS |
|
|
Face Detection (Q)
|
97% |
748
8.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
296
2.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
478
3.68 IPS |
|
|
Depth Estimation (Q)
|
64% |
437
3.96 IPS |
|
|
Style Transfer (SP)
|
100% |
360
0.46 IPS |
|
|
Style Transfer (HP)
|
100% |
362
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
976
1.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
96
3.55 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
92
3.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
338
12.5 IPS |
|
|
Text Classification (SP)
|
100% |
117
155.6 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.1 IPS |
|
|
Text Classification (Q)
|
91% |
197
264.8 IPS |
|
|
Machine Translation (SP)
|
100% |
409
7.04 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.81 IPS |
|
|
Machine Translation (Q)
|
57% |
170
4.16 IPS |
