OnePlus CPH2723
Geekbench AI Score
2652
Single Precision Score
4181
Half Precision Score
3384
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 11:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1636
304.2 IPS |
|
|
Image Classification (HP)
|
100% |
3449
641.4 IPS |
|
|
Image Classification (Q)
|
100% |
1963
365.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3375
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4481
72.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5596
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13054
15.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
23243
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22729
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
99% |
2086
165.5 IPS |
|
|
Object Detection (Q)
|
85% |
2028
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
5738
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
9693
115.2 IPS |
|
|
Face Detection (Q)
|
97% |
7781
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6701
51.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9355
72.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7040
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16366
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35552
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35004
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3494
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5349
197.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5209
193.0 IPS |
|
|
Text Classification (SP)
|
35% |
68
658.4 IPS |
|
|
Text Classification (HP)
|
35% |
70
635.6 IPS |
|
|
Text Classification (Q)
|
33% |
55
613.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (Q)
|
48% |
709
27.2 IPS |
