OnePlus CPH2691
Geekbench AI Score
2450
Single Precision Score
2444
Half Precision Score
3673
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1686
313.5 IPS |
|
|
Image Classification (HP)
|
100% |
1724
320.6 IPS |
|
|
Image Classification (Q)
|
100% |
2846
529.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2241
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3203
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3876
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
3876
4.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
8693
10.3 IPS |
|
|
Object Detection (SP)
|
98% |
1758
139.9 IPS |
|
|
Object Detection (HP)
|
98% |
1752
139.4 IPS |
|
|
Object Detection (Q)
|
83% |
2490
201.1 IPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
3682
43.7 IPS |
|
|
Face Detection (Q)
|
95% |
5751
68.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
3871
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3808
29.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
6030
55.2 IPS |
|
|
Style Transfer (SP)
|
89% |
8813
11.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9164
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17243
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4432
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
88% |
1264
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1505
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (Q)
|
50% |
677
24.0 IPS |
