OnePlus CPH2691
Geekbench AI Score
1109
Single Precision Score
1630
Half Precision Score
1588
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 12:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2691 |
| Model ID | OnePlus CPH2691 |
| Motherboard | pineapple |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
605
112.5 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.5 IPS |
|
|
Image Classification (Q)
|
96% |
500
93.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1286
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1105
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
2584
3.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
2572
3.01 IPS |
|
|
Object Detection (SP)
|
100% |
728
57.7 IPS |
|
|
Object Detection (HP)
|
100% |
998
79.2 IPS |
|
|
Object Detection (Q)
|
87% |
1100
88.3 IPS |
|
|
Face Detection (SP)
|
100% |
2456
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (Q)
|
97% |
3376
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1833
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3817
29.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2998
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6724
8.64 IPS |
|
|
Style Transfer (HP)
|
100% |
10908
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10738
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1612
59.7 IPS |
|
|
Text Classification (SP)
|
100% |
405
541.2 IPS |
|
|
Text Classification (HP)
|
100% |
418
557.9 IPS |
|
|
Text Classification (Q)
|
91% |
685
921.3 IPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
57% |
470
11.5 IPS |
