OnePlus CPH2653
Geekbench AI Score
2142
Single Precision Score
2186
Half Precision Score
2622
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 05:40 AM |
| Views | 1 |
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 | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.6 IPS |
|
|
Image Classification (HP)
|
100% |
1463
272.0 IPS |
|
|
Image Classification (Q)
|
100% |
2120
394.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3168
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4208
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4213
4.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
10045
11.9 IPS |
|
|
Object Detection (SP)
|
98% |
1242
98.8 IPS |
|
|
Object Detection (HP)
|
98% |
1225
97.4 IPS |
|
|
Object Detection (Q)
|
83% |
1933
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3375
40.1 IPS |
|
|
Face Detection (Q)
|
95% |
5120
61.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
3801
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3806
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5523
50.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9646
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9555
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15892
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1485
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2580
95.6 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
777
1.04 KIPS |
|
|
Text Classification (Q)
|
88% |
381
513.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (Q)
|
50% |
267
9.46 IPS |
