OnePlus CPH2707
Geekbench AI Score
1149
Single Precision Score
1298
Half Precision Score
1860
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 02:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1261
234.5 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (Q)
|
100% |
1383
257.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1217
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3239
3.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3210
3.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
6882
8.16 IPS |
|
|
Object Detection (SP)
|
98% |
689
54.9 IPS |
|
|
Object Detection (HP)
|
98% |
679
54.0 IPS |
|
|
Object Detection (Q)
|
83% |
1219
98.5 IPS |
|
|
Face Detection (SP)
|
100% |
1292
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (Q)
|
95% |
2651
31.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
1580
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1612
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2402
22.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3640
4.73 IPS |
|
|
Style Transfer (HP)
|
89% |
7845
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
6427
8.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
796
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1666
61.7 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.0 IPS |
|
|
Text Classification (HP)
|
99% |
394
525.2 IPS |
|
|
Text Classification (Q)
|
88% |
631
850.9 IPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1465
25.2 IPS |
|
|
Machine Translation (Q)
|
50% |
820
29.1 IPS |
