OnePlus CPH2653
Geekbench AI Score
2631
Single Precision Score
4042
Half Precision Score
3397
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 10:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
2516
467.9 IPS |
|
|
Image Classification (Q)
|
100% |
2389
444.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3294
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5712
92.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5270
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12825
15.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
23053
26.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
22614
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
99% |
2054
162.9 IPS |
|
|
Object Detection (Q)
|
85% |
2023
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
5298
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
8801
104.6 IPS |
|
|
Face Detection (Q)
|
97% |
7511
89.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6638
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9164
70.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7037
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16291
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35433
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
35698
46.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3474
128.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5415
200.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5440
201.6 IPS |
|
|
Text Classification (SP)
|
35% |
71
688.8 IPS |
|
|
Text Classification (HP)
|
35% |
70
634.3 IPS |
|
|
Text Classification (Q)
|
33% |
56
627.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1580
27.2 IPS |
|
|
Machine Translation (Q)
|
48% |
619
23.7 IPS |
