OnePlus CPH2653
Geekbench AI Score
1174
Single Precision Score
2132
Half Precision Score
1824
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | boriga7 |
| Upload Date | June 23 2025 05:15 PM |
| Views | 3 |
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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
699
130.0 IPS |
|
|
Image Classification (HP)
|
100% |
1190
221.2 IPS |
|
|
Image Classification (Q)
|
99% |
802
149.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2070
33.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1844
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1611
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2758
3.23 IPS |
|
|
Object Detection (SP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
1307
103.7 IPS |
|
|
Object Detection (Q)
|
86% |
1317
105.8 IPS |
|
|
Face Detection (SP)
|
100% |
2945
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
5342
63.5 IPS |
|
|
Face Detection (Q)
|
97% |
3926
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1513
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4335
33.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3611
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5349
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
11723
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
11535
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
599
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1973
73.1 IPS |
|
|
Text Classification (SP)
|
100% |
572
763.5 IPS |
|
|
Text Classification (HP)
|
100% |
554
738.9 IPS |
|
|
Text Classification (Q)
|
91% |
884
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
730
12.6 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.52 IPS |
