OnePlus CPH2769
Geekbench AI Score
2294
Single Precision Score
3567
Half Precision Score
2999
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 14 2025 06:13 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2769 |
| Model ID | OnePlus CPH2769 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 4 part 2 revision 0 |
| Base Frequency | 3.32 GHz |
| Cluster 1 | 6 Cores @ 3.32 GHz |
| Cluster 2 | 2 Cores @ 3.80 GHz |
| Memory Information | |
|---|---|
| Size | 10.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1458
271.2 IPS |
|
|
Image Classification (HP)
|
100% |
2145
398.9 IPS |
|
|
Image Classification (Q)
|
100% |
1949
362.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4102
66.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4641
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10219
11.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
18323
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18303
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
99% |
1689
133.9 IPS |
|
|
Object Detection (Q)
|
85% |
1625
130.8 IPS |
|
|
Face Detection (SP)
|
100% |
4354
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7775
92.4 IPS |
|
|
Face Detection (Q)
|
97% |
5751
68.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5883
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8945
69.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7091
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12679
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27445
35.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27113
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2548
94.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4236
156.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4079
151.2 IPS |
|
|
Text Classification (SP)
|
35% |
66
640.7 IPS |
|
|
Text Classification (HP)
|
35% |
125
1.13 KIPS |
|
|
Text Classification (Q)
|
33% |
98
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1405
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (Q)
|
48% |
496
19.0 IPS |
