OnePlus CPH2653
Geekbench AI Score
2368
Single Precision Score
2345
Half Precision Score
4302
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 10:03 PM |
| Views | 3 |
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% |
1505
279.8 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.3 IPS |
|
|
Image Classification (Q)
|
100% |
2994
556.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4425
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4349
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4462
5.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
12102
14.4 IPS |
|
|
Object Detection (SP)
|
98% |
1406
111.9 IPS |
|
|
Object Detection (HP)
|
98% |
1368
108.9 IPS |
|
|
Object Detection (Q)
|
83% |
3284
265.3 IPS |
|
|
Face Detection (SP)
|
100% |
3728
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (Q)
|
95% |
7530
89.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3865
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3778
29.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
9090
83.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9851
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9829
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
23030
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2142
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1954
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5643
209.1 IPS |
|
|
Text Classification (SP)
|
100% |
930
1.24 KIPS |
|
|
Text Classification (HP)
|
99% |
763
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
973
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1263
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |
