OnePlus CPH2649
Geekbench AI Score
2239
Single Precision Score
2275
Half Precision Score
4032
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 28 2025 07:40 AM |
| Views | 2 |
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% |
1589
295.5 IPS |
|
|
Image Classification (HP)
|
100% |
1629
303.0 IPS |
|
|
Image Classification (Q)
|
100% |
4165
774.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4707
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4551
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4520
5.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
11539
13.7 IPS |
|
|
Object Detection (SP)
|
98% |
1435
114.2 IPS |
|
|
Object Detection (HP)
|
98% |
1438
114.4 IPS |
|
|
Object Detection (Q)
|
83% |
3351
270.7 IPS |
|
|
Face Detection (SP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (Q)
|
95% |
7865
93.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3883
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3912
30.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8839
81.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9737
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9761
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
22915
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2028
74.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3190
118.2 IPS |
|
|
Text Classification (SP)
|
100% |
531
708.2 IPS |
|
|
Text Classification (HP)
|
99% |
738
984.5 IPS |
|
|
Text Classification (Q)
|
88% |
664
895.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (Q)
|
50% |
444
15.7 IPS |
