OnePlus 11
Geekbench AI Score
1285
Single Precision Score
1859
Half Precision Score
1443
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 06:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 11 |
| Model ID | OnePlus CPH2449 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 14.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
875
162.7 IPS |
|
|
Image Classification (HP)
|
100% |
1271
236.3 IPS |
|
|
Image Classification (Q)
|
99% |
966
180.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2601
42.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1622
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7646
8.92 IPS |
|
|
Pose Estimation (HP)
|
99% |
13363
15.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
12736
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
99% |
873
69.2 IPS |
|
|
Object Detection (Q)
|
82% |
895
72.5 IPS |
|
|
Face Detection (SP)
|
100% |
2419
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
3524
41.9 IPS |
|
|
Face Detection (Q)
|
97% |
2846
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3571
27.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4480
34.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3621
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9569
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18103
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
19413
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1456
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1779
65.9 IPS |
|
|
Text Classification (SP)
|
35% |
27
266.0 IPS |
|
|
Text Classification (HP)
|
35% |
35
320.8 IPS |
|
|
Text Classification (Q)
|
35% |
30
293.1 IPS |
|
|
Machine Translation (SP)
|
100% |
529
9.11 IPS |
|
|
Machine Translation (HP)
|
97% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
49% |
206
7.75 IPS |
