OnePlus CPH2723
Geekbench AI Score
2288
Single Precision Score
2329
Half Precision Score
4292
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 08:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2723 |
| Model ID | OnePlus CPH2723 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
1734
322.4 IPS |
|
|
Image Classification (Q)
|
100% |
3661
680.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1871
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4319
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4568
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4109
4.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
10950
13.0 IPS |
|
|
Object Detection (SP)
|
98% |
1425
113.4 IPS |
|
|
Object Detection (HP)
|
98% |
1403
111.6 IPS |
|
|
Object Detection (Q)
|
83% |
3429
277.0 IPS |
|
|
Face Detection (SP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (Q)
|
95% |
8501
101.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3878
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3892
30.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
8056
73.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9475
12.3 IPS |
|
|
Style Transfer (HP)
|
89% |
9348
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20853
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2070
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5489
203.4 IPS |
|
|
Text Classification (SP)
|
100% |
561
748.2 IPS |
|
|
Text Classification (HP)
|
99% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
88% |
947
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (Q)
|
50% |
482
17.1 IPS |
