OnePlus CPH2723
Geekbench AI Score
357
Single Precision Score
24778
Half Precision Score
54419
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 03:25 PM |
| Views | 3 |
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% |
317
59.0 IPS |
|
|
Image Classification (HP)
|
100% |
20998
3.90 KIPS |
|
|
Image Classification (Q)
|
97% |
48552
9.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
13462
218.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
40261
654.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
120600
140.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
468631
548.5 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
16073
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
19284
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
593
7.04 IPS |
|
|
Face Detection (HP)
|
100% |
32496
386.1 IPS |
|
|
Face Detection (Q)
|
97% |
92842
1.11 KIPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
74963
577.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
131092
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
904
1.16 IPS |
|
|
Style Transfer (HP)
|
98% |
97352
125.5 IPS |
|
|
Style Transfer (Q)
|
98% |
485258
625.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50294
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
118008
4.37 KIPS |
|
|
Text Classification (SP)
|
100% |
173
231.6 IPS |
|
|
Text Classification (HP)
|
100% |
3849
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
7833
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (HP)
|
100% |
3468
59.7 IPS |
|
|
Machine Translation (Q)
|
56% |
2362
60.8 IPS |
