OnePlus CPH2709
Geekbench AI Score
1174
Single Precision Score
1052
Half Precision Score
1593
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 05:05 PM |
| Views | 2 |
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 | 11.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
708
131.6 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
100% |
1189
221.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1193
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3133
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
6203
7.36 IPS |
|
|
Object Detection (SP)
|
98% |
635
50.6 IPS |
|
|
Object Detection (HP)
|
98% |
653
52.0 IPS |
|
|
Object Detection (Q)
|
83% |
1020
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
1239
14.7 IPS |
|
|
Face Detection (Q)
|
95% |
2413
28.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1639
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2929
22.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5631
51.6 IPS |
|
|
Style Transfer (SP)
|
89% |
7537
9.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3508
4.55 IPS |
|
|
Style Transfer (Q)
|
98% |
6306
8.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
569
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1194
44.2 IPS |
|
|
Text Classification (SP)
|
100% |
309
411.8 IPS |
|
|
Text Classification (HP)
|
99% |
311
415.4 IPS |
|
|
Text Classification (Q)
|
88% |
224
301.6 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.83 IPS |
|
|
Machine Translation (HP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
512
18.2 IPS |
