OnePlus CPH2653
Geekbench AI Score
980
Single Precision Score
1536
Half Precision Score
1457
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | abufrejoval |
| Upload Date | March 08 2025 12:59 PM |
| Views | 1 |
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% |
660
122.7 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.5 IPS |
|
|
Image Classification (Q)
|
99% |
632
117.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1166
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1623
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
2769
3.24 IPS |
|
|
Object Detection (SP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (HP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (Q)
|
86% |
1032
82.9 IPS |
|
|
Face Detection (SP)
|
100% |
2931
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
3387
40.2 IPS |
|
|
Face Detection (Q)
|
97% |
2592
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1590
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4572
35.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3769
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5785
7.44 IPS |
|
|
Style Transfer (HP)
|
100% |
12395
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
12302
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2139
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2093
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.7 IPS |
|
|
Text Classification (HP)
|
100% |
187
250.2 IPS |
|
|
Text Classification (Q)
|
91% |
310
416.8 IPS |
|
|
Machine Translation (SP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.45 IPS |
