OnePlus CPH2749
Geekbench AI Score
2937
Single Precision Score
4683
Half Precision Score
4002
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 12 2025 06:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2749 |
| Model ID | OnePlus CPH2749 |
| 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 | 14.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1695
315.2 IPS |
|
|
Image Classification (HP)
|
100% |
2841
528.4 IPS |
|
|
Image Classification (Q)
|
100% |
2854
530.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3414
55.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7209
116.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6459
105.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14125
16.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
25164
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25626
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
99% |
2403
190.6 IPS |
|
|
Object Detection (Q)
|
85% |
2251
181.2 IPS |
|
|
Face Detection (SP)
|
100% |
5917
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
10894
129.4 IPS |
|
|
Face Detection (Q)
|
97% |
9620
114.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7340
56.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9792
75.7 IPS |
|
|
Depth Estimation (Q)
|
61% |
7664
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17662
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39396
50.6 IPS |
|
|
Style Transfer (Q)
|
98% |
39600
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3909
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6095
225.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6507
241.2 IPS |
|
|
Text Classification (SP)
|
35% |
91
885.4 IPS |
|
|
Text Classification (HP)
|
35% |
90
814.9 IPS |
|
|
Text Classification (Q)
|
33% |
75
840.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1778
30.6 IPS |
|
|
Machine Translation (Q)
|
48% |
697
26.7 IPS |
