OnePlus 11
Geekbench AI Score
419
Single Precision Score
17037
Half Precision Score
41923
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 06 2026 09:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus 11 |
| Model ID | OnePlus CPH2451 |
| 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% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
13181
2.45 KIPS |
|
|
Image Classification (Q)
|
96% |
31521
5.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
7786
126.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
27815
452.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
70525
82.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
291325
341.0 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
12357
980.2 IPS |
|
|
Object Detection (Q)
|
86% |
17872
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (HP)
|
100% |
24504
291.2 IPS |
|
|
Face Detection (Q)
|
97% |
84095
1.00 KIPS |
|
|
Depth Estimation (SP)
|
100% |
550
4.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
43991
338.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
103146
971.5 IPS |
|
|
Style Transfer (SP)
|
100% |
884
1.14 IPS |
|
|
Style Transfer (HP)
|
100% |
56695
72.9 IPS |
|
|
Style Transfer (Q)
|
98% |
285360
368.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32665
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82899
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
381
509.2 IPS |
|
|
Text Classification (HP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (Q)
|
93% |
8202
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
589
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4084
70.4 IPS |
|
|
Machine Translation (Q)
|
55% |
2183
57.2 IPS |
