OnePlus CPH2709
Geekbench AI Score
1093
Single Precision Score
1291
Half Precision Score
1642
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | nano-onan |
| Upload Date | December 01 2025 07:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2709 |
| Model ID | OnePlus CPH2709 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1417
263.5 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.5 IPS |
|
|
Image Classification (Q)
|
100% |
1119
208.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1162
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3246
3.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2975
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
2751
3.26 IPS |
|
|
Object Detection (SP)
|
98% |
548
43.6 IPS |
|
|
Object Detection (HP)
|
98% |
1319
104.9 IPS |
|
|
Object Detection (Q)
|
83% |
1054
85.1 IPS |
|
|
Face Detection (SP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
2272
27.0 IPS |
|
|
Face Detection (Q)
|
95% |
2094
25.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2852
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1195
9.23 IPS |
|
|
Depth Estimation (Q)
|
64% |
4042
37.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3205
4.16 IPS |
|
|
Style Transfer (HP)
|
89% |
7353
9.55 IPS |
|
|
Style Transfer (Q)
|
98% |
13675
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1100
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1354
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
356
474.9 IPS |
|
|
Text Classification (HP)
|
99% |
309
412.3 IPS |
|
|
Text Classification (Q)
|
88% |
596
803.4 IPS |
|
|
Machine Translation (SP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
50% |
407
14.5 IPS |
