OnePlus CPH2649
Geekbench AI Score
2292
Single Precision Score
2232
Half Precision Score
3958
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | ArpanRay |
| Upload Date | August 27 2025 06:01 PM |
| Views | 8 |
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 | 10.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.2 IPS |
|
|
Image Classification (HP)
|
100% |
1661
308.8 IPS |
|
|
Image Classification (Q)
|
100% |
3668
682.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5053
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4502
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
4573
5.34 IPS |
|
|
Pose Estimation (Q)
|
84% |
11850
14.1 IPS |
|
|
Object Detection (SP)
|
98% |
1460
116.2 IPS |
|
|
Object Detection (HP)
|
98% |
1409
112.1 IPS |
|
|
Object Detection (Q)
|
83% |
3250
262.5 IPS |
|
|
Face Detection (SP)
|
100% |
3937
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (Q)
|
95% |
8974
107.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3592
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3992
30.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
9356
85.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9923
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9807
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22713
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3647
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
657
876.8 IPS |
|
|
Text Classification (HP)
|
99% |
445
594.5 IPS |
|
|
Text Classification (Q)
|
88% |
457
616.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1153
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1155
19.9 IPS |
|
|
Machine Translation (Q)
|
50% |
416
14.8 IPS |
