OnePlus CPH2691
Geekbench AI Score
1767
Single Precision Score
2644
Half Precision Score
1973
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 06 2026 08:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1026
190.9 IPS |
|
|
Image Classification (HP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (Q)
|
100% |
1269
236.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3872
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2675
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9904
11.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
18261
21.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
17677
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (HP)
|
99% |
1457
115.6 IPS |
|
|
Object Detection (Q)
|
87% |
1158
93.0 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
4910
58.3 IPS |
|
|
Face Detection (Q)
|
97% |
3729
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4862
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7521
58.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
5712
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12699
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26747
34.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25401
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2470
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3636
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3819
141.5 IPS |
|
|
Text Classification (SP)
|
35% |
35
338.3 IPS |
|
|
Text Classification (HP)
|
35% |
45
408.0 IPS |
|
|
Text Classification (Q)
|
33% |
33
398.0 IPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
97% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
43% |
189
10.7 IPS |
