OnePlus CPH2745
Geekbench AI Score
2887
Single Precision Score
4522
Half Precision Score
3751
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 28 2025 08:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2745 |
| Model ID | OnePlus CPH2745 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1658
308.3 IPS |
|
|
Image Classification (HP)
|
100% |
2259
420.2 IPS |
|
|
Image Classification (Q)
|
100% |
2354
437.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3617
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7188
116.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5323
86.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14140
16.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
25287
29.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24924
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
99% |
2287
181.4 IPS |
|
|
Object Detection (Q)
|
85% |
2211
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
6310
75.0 IPS |
|
|
Face Detection (HP)
|
100% |
10996
130.7 IPS |
|
|
Face Detection (Q)
|
97% |
9659
115.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7364
56.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10006
77.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
7799
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17608
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38167
49.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37736
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5659
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5616
208.1 IPS |
|
|
Text Classification (SP)
|
35% |
76
741.8 IPS |
|
|
Text Classification (HP)
|
35% |
94
853.2 IPS |
|
|
Text Classification (Q)
|
33% |
75
842.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (Q)
|
48% |
667
25.6 IPS |
