OnePlus CPH2653
Geekbench AI Score
1008
Single Precision Score
1774
Half Precision Score
1651
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | nithinmohantk |
| Upload Date | January 20 2025 07:03 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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.5 IPS |
|
|
Image Classification (Q)
|
99% |
788
147.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1153
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1623
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2775
3.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2765
3.24 IPS |
|
|
Object Detection (SP)
|
100% |
537
42.6 IPS |
|
|
Object Detection (HP)
|
100% |
1159
92.0 IPS |
|
|
Object Detection (Q)
|
86% |
1076
86.4 IPS |
|
|
Face Detection (SP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4837
57.5 IPS |
|
|
Face Detection (Q)
|
97% |
4315
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1550
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4529
35.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
3523
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5328
6.85 IPS |
|
|
Style Transfer (HP)
|
100% |
11923
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
11964
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2080
77.1 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (HP)
|
100% |
276
368.9 IPS |
|
|
Text Classification (Q)
|
91% |
425
571.9 IPS |
|
|
Machine Translation (SP)
|
100% |
481
8.28 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
57% |
347
8.48 IPS |
