OnePlus CPH2653
Geekbench AI Score
2337
Single Precision Score
2318
Half Precision Score
4181
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 31 2025 10:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.74 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1474
274.2 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.8 IPS |
|
|
Image Classification (Q)
|
100% |
4174
776.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1989
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4525
73.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4645
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4673
5.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
11617
13.8 IPS |
|
|
Object Detection (SP)
|
98% |
1350
107.4 IPS |
|
|
Object Detection (HP)
|
98% |
1356
107.9 IPS |
|
|
Object Detection (Q)
|
83% |
3241
261.8 IPS |
|
|
Face Detection (SP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
3737
44.4 IPS |
|
|
Face Detection (Q)
|
95% |
7663
91.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3863
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3838
29.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
8336
76.3 IPS |
|
|
Style Transfer (SP)
|
89% |
9567
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9582
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19583
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4881
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
804
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
816
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (Q)
|
50% |
461
16.4 IPS |
