OnePlus CPH2691
Geekbench AI Score
2337
Single Precision Score
2355
Half Precision Score
3766
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 11 2025 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus CPH2691 |
| Model ID | OnePlus CPH2691 |
| 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 | 2.26 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 | 10.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1594
296.3 IPS |
|
|
Image Classification (HP)
|
100% |
1823
338.9 IPS |
|
|
Image Classification (Q)
|
100% |
3712
690.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3184
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3871
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3900
4.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
8726
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1772
141.0 IPS |
|
|
Object Detection (HP)
|
98% |
1780
141.7 IPS |
|
|
Object Detection (Q)
|
83% |
2560
206.8 IPS |
|
|
Face Detection (SP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (Q)
|
95% |
5886
70.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3585
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3589
27.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
6188
56.7 IPS |
|
|
Style Transfer (SP)
|
89% |
9130
11.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9169
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17901
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3996
148.1 IPS |
|
|
Text Classification (SP)
|
100% |
747
997.7 IPS |
|
|
Text Classification (HP)
|
99% |
739
986.1 IPS |
|
|
Text Classification (Q)
|
88% |
1158
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
721
25.6 IPS |
