OnePlus CPH2707
Geekbench AI Score
1320
Single Precision Score
1916
Half Precision Score
1384
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2707 |
| Model ID | OnePlus CPH2707 |
| 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% |
812
150.9 IPS |
|
|
Image Classification (HP)
|
100% |
1321
245.7 IPS |
|
|
Image Classification (Q)
|
100% |
1089
202.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1514
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6902
8.05 IPS |
|
|
Pose Estimation (HP)
|
99% |
12678
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12079
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (HP)
|
99% |
836
66.3 IPS |
|
|
Object Detection (Q)
|
87% |
834
67.0 IPS |
|
|
Face Detection (SP)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (Q)
|
97% |
2768
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3558
27.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5357
41.4 IPS |
|
|
Depth Estimation (Q)
|
61% |
4227
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8403
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16339
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15624
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1452
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2094
77.6 IPS |
|
|
Text Classification (SP)
|
35% |
33
326.1 IPS |
|
|
Text Classification (HP)
|
35% |
44
402.3 IPS |
|
|
Text Classification (Q)
|
33% |
32
389.7 IPS |
|
|
Machine Translation (SP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (HP)
|
97% |
508
8.78 IPS |
|
|
Machine Translation (Q)
|
43% |
127
7.22 IPS |
