OnePlus CPH2649
Geekbench AI Score
1989
Single Precision Score
1959
Half Precision Score
3209
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 14 2025 01:37 PM |
| Views | 1 |
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 | 22.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (Q)
|
100% |
2488
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1573
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3372
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3846
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3447
4.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
9766
11.6 IPS |
|
|
Object Detection (SP)
|
98% |
1118
89.0 IPS |
|
|
Object Detection (HP)
|
98% |
1217
96.8 IPS |
|
|
Object Detection (Q)
|
83% |
2620
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3413
40.6 IPS |
|
|
Face Detection (Q)
|
95% |
6265
74.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3449
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3437
26.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
6661
61.0 IPS |
|
|
Style Transfer (SP)
|
89% |
8095
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8349
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15091
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3363
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
726
969.2 IPS |
|
|
Text Classification (HP)
|
99% |
573
764.8 IPS |
|
|
Text Classification (Q)
|
88% |
609
821.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
419
14.9 IPS |
