OnePlus CPH2653
Geekbench AI Score
2226
Single Precision Score
2262
Half Precision Score
3980
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 09 2026 03:36 PM |
| Views | 6 |
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% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
1463
272.0 IPS |
|
|
Image Classification (Q)
|
100% |
3253
604.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1847
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3825
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4446
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
4401
5.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
11565
13.7 IPS |
|
|
Object Detection (SP)
|
98% |
1314
104.5 IPS |
|
|
Object Detection (HP)
|
98% |
1302
103.6 IPS |
|
|
Object Detection (Q)
|
83% |
3077
248.6 IPS |
|
|
Face Detection (SP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (Q)
|
95% |
7479
89.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3601
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3503
27.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
8387
76.8 IPS |
|
|
Style Transfer (SP)
|
89% |
8546
11.1 IPS |
|
|
Style Transfer (HP)
|
89% |
9390
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19690
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1926
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4832
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.06 KIPS |
|
|
Text Classification (HP)
|
99% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
88% |
830
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (Q)
|
50% |
455
16.1 IPS |
