OnePlus CPH2723
Geekbench AI Score
248
Single Precision Score
25278
Half Precision Score
60785
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | dd88 |
| Upload Date | January 11 2026 07:14 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (HP)
|
100% |
17658
3.28 KIPS |
|
|
Image Classification (Q)
|
96% |
43592
8.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
11974
194.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
46169
750.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
384
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
122133
142.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
471238
551.6 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (HP)
|
100% |
16689
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
23253
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
321
3.81 IPS |
|
|
Face Detection (HP)
|
100% |
32801
389.8 IPS |
|
|
Face Detection (Q)
|
97% |
94166
1.12 KIPS |
|
|
Depth Estimation (SP)
|
100% |
493
3.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
79355
611.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
158356
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
905
1.16 IPS |
|
|
Style Transfer (HP)
|
100% |
91997
118.3 IPS |
|
|
Style Transfer (Q)
|
98% |
480342
619.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
133
4.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50660
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
125402
4.65 KIPS |
|
|
Text Classification (SP)
|
100% |
176
234.4 IPS |
|
|
Text Classification (HP)
|
100% |
4371
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
11942
16.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (HP)
|
100% |
4662
80.3 IPS |
|
|
Machine Translation (Q)
|
56% |
2911
75.0 IPS |
