OnePlus CPH2709
Geekbench AI Score
1264
Single Precision Score
1873
Half Precision Score
1382
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 12 2025 05:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
849
157.8 IPS |
|
|
Image Classification (HP)
|
100% |
1233
229.3 IPS |
|
|
Image Classification (Q)
|
100% |
1116
207.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2789
45.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1413
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6845
7.99 IPS |
|
|
Pose Estimation (HP)
|
99% |
11975
14.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
11434
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
630
49.9 IPS |
|
|
Object Detection (HP)
|
99% |
853
67.6 IPS |
|
|
Object Detection (Q)
|
87% |
831
66.7 IPS |
|
|
Face Detection (SP)
|
100% |
2301
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (Q)
|
97% |
2848
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3549
27.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5561
43.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
4132
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8371
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16192
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15192
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2103
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2139
79.3 IPS |
|
|
Text Classification (SP)
|
35% |
33
318.6 IPS |
|
|
Text Classification (HP)
|
35% |
42
377.8 IPS |
|
|
Text Classification (Q)
|
33% |
33
391.4 IPS |
|
|
Machine Translation (SP)
|
100% |
477
8.22 IPS |
|
|
Machine Translation (HP)
|
97% |
523
9.05 IPS |
|
|
Machine Translation (Q)
|
43% |
135
7.66 IPS |
