OnePlus CPH2723
Geekbench AI Score
1872
Single Precision Score
1892
Half Precision Score
3185
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 13 2025 07:09 AM |
| Views | 1 |
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% |
1139
211.8 IPS |
|
|
Image Classification (HP)
|
100% |
1220
226.9 IPS |
|
|
Image Classification (Q)
|
100% |
2414
448.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3012
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3563
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
3561
4.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
9002
10.7 IPS |
|
|
Object Detection (SP)
|
98% |
1124
89.5 IPS |
|
|
Object Detection (HP)
|
98% |
1133
90.1 IPS |
|
|
Object Detection (Q)
|
83% |
2600
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3276
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (Q)
|
95% |
5929
70.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
3161
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3129
24.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
6403
58.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7561
9.82 IPS |
|
|
Style Transfer (HP)
|
89% |
7537
9.78 IPS |
|
|
Style Transfer (Q)
|
98% |
15183
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3873
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
585
780.6 IPS |
|
|
Text Classification (HP)
|
99% |
644
859.4 IPS |
|
|
Text Classification (Q)
|
88% |
648
874.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
