OnePlus CPH2723
Geekbench AI Score
2547
Single Precision Score
4064
Half Precision Score
3355
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 08:14 AM |
| Views | 4 |
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% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
2375
441.6 IPS |
|
|
Image Classification (Q)
|
100% |
2174
404.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5247
85.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5021
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12967
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23239
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22723
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
1527
121.1 IPS |
|
|
Object Detection (HP)
|
99% |
1964
155.8 IPS |
|
|
Object Detection (Q)
|
85% |
1885
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
8822
104.8 IPS |
|
|
Face Detection (Q)
|
97% |
8437
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6097
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9331
72.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7011
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16236
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35573
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36422
47.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3496
129.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5934
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5226
193.7 IPS |
|
|
Text Classification (SP)
|
35% |
67
656.4 IPS |
|
|
Text Classification (HP)
|
35% |
82
742.9 IPS |
|
|
Text Classification (Q)
|
33% |
56
631.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (Q)
|
48% |
613
23.5 IPS |
