OnePlus CPH2653
Geekbench AI Score
2198
Single Precision Score
2168
Half Precision Score
4115
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | boriga7 |
| Upload Date | June 23 2025 05:09 PM |
| 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 | 14.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1465
272.5 IPS |
|
|
Image Classification (HP)
|
100% |
1486
276.3 IPS |
|
|
Image Classification (Q)
|
100% |
3956
735.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4716
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3806
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4036
4.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
9984
11.8 IPS |
|
|
Object Detection (SP)
|
98% |
1342
106.8 IPS |
|
|
Object Detection (HP)
|
98% |
1136
90.4 IPS |
|
|
Object Detection (Q)
|
83% |
2761
223.0 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (Q)
|
95% |
7570
90.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3841
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3934
30.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
8637
79.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9889
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9554
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21494
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4844
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
99% |
762
1.02 KIPS |
|
|
Text Classification (Q)
|
88% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1267
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
50% |
500
17.8 IPS |
