OnePlus CPH2653
Geekbench AI Score
2282
Single Precision Score
2250
Half Precision Score
4422
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 09:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2653 |
| Model ID | OnePlus CPH2653 |
| 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
1290
239.8 IPS |
|
|
Image Classification (Q)
|
100% |
3949
734.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5167
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4338
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
4319
5.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
11443
13.6 IPS |
|
|
Object Detection (SP)
|
98% |
1365
108.6 IPS |
|
|
Object Detection (HP)
|
98% |
1377
109.6 IPS |
|
|
Object Detection (Q)
|
83% |
3317
267.9 IPS |
|
|
Face Detection (SP)
|
100% |
3697
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (Q)
|
95% |
7861
93.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3704
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3740
28.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8760
80.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9370
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9519
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19985
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1763
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5554
205.8 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
869
1.16 KIPS |
|
|
Text Classification (Q)
|
88% |
1025
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1268
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.7 IPS |
