OnePlus CPH2649
Geekbench AI Score
2680
Single Precision Score
4268
Half Precision Score
3543
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 07 2025 05:03 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2649 |
| Model ID | OnePlus CPH2649 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1496
278.2 IPS |
|
|
Image Classification (HP)
|
100% |
2833
526.9 IPS |
|
|
Image Classification (Q)
|
100% |
2238
416.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3067
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6239
101.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5240
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12480
14.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
23383
27.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
22635
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
1616
128.1 IPS |
|
|
Object Detection (HP)
|
99% |
2001
158.7 IPS |
|
|
Object Detection (Q)
|
85% |
2118
170.5 IPS |
|
|
Face Detection (SP)
|
100% |
5581
66.3 IPS |
|
|
Face Detection (HP)
|
100% |
10404
123.6 IPS |
|
|
Face Detection (Q)
|
97% |
8957
106.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6716
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9051
70.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
7032
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15700
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35411
45.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34502
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3398
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5496
202.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5133
190.2 IPS |
|
|
Text Classification (SP)
|
35% |
95
923.9 IPS |
|
|
Text Classification (HP)
|
35% |
72
657.0 IPS |
|
|
Text Classification (Q)
|
33% |
70
788.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1842
31.7 IPS |
|
|
Machine Translation (Q)
|
48% |
711
27.3 IPS |
