OnePlus CPH2707
Geekbench AI Score
1361
Single Precision Score
1959
Half Precision Score
1507
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 10:38 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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
977
181.7 IPS |
|
|
Image Classification (HP)
|
100% |
1193
221.8 IPS |
|
|
Image Classification (Q)
|
100% |
1182
219.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3243
52.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1991
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6976
8.14 IPS |
|
|
Pose Estimation (HP)
|
99% |
12147
14.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11554
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (HP)
|
99% |
907
72.0 IPS |
|
|
Object Detection (Q)
|
87% |
1015
81.5 IPS |
|
|
Face Detection (SP)
|
100% |
2404
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3831
45.5 IPS |
|
|
Face Detection (Q)
|
97% |
2702
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3602
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5380
41.6 IPS |
|
|
Depth Estimation (Q)
|
61% |
3977
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8470
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16341
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15265
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1456
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2093
77.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2149
79.6 IPS |
|
|
Text Classification (SP)
|
35% |
31
298.9 IPS |
|
|
Text Classification (HP)
|
35% |
44
396.9 IPS |
|
|
Text Classification (Q)
|
33% |
29
346.0 IPS |
|
|
Machine Translation (SP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (HP)
|
97% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
43% |
215
12.2 IPS |
