OnePlus CPH2723
Geekbench AI Score
287
Single Precision Score
25084
Half Precision Score
55027
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 11:48 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
307
57.1 IPS |
|
|
Image Classification (HP)
|
100% |
20786
3.87 KIPS |
|
|
Image Classification (Q)
|
97% |
50084
9.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
13314
215.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
35292
573.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
389
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
119873
139.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
471952
552.4 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.19 IPS |
|
|
Object Detection (HP)
|
100% |
16952
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
18804
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
322
3.83 IPS |
|
|
Face Detection (HP)
|
100% |
32231
383.0 IPS |
|
|
Face Detection (Q)
|
97% |
110166
1.31 KIPS |
|
|
Depth Estimation (SP)
|
100% |
274
2.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
78462
604.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
129227
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
513
0.66 IPS |
|
|
Style Transfer (HP)
|
98% |
97522
125.8 IPS |
|
|
Style Transfer (Q)
|
98% |
487174
628.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
257
9.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52015
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
123958
4.59 KIPS |
|
|
Text Classification (SP)
|
100% |
172
229.5 IPS |
|
|
Text Classification (HP)
|
100% |
3871
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7944
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (HP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (Q)
|
56% |
2376
61.2 IPS |
