OnePlus 11
Geekbench AI Score
208
Single Precision Score
15763
Half Precision Score
35441
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | August 30 2025 09:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus 11 |
| Model ID | OnePlus CPH2447 |
| 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% |
120
22.2 IPS |
|
|
Image Classification (HP)
|
100% |
12150
2.26 KIPS |
|
|
Image Classification (Q)
|
97% |
31670
5.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
7317
118.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20492
333.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
72677
84.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
293498
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
118
9.32 IPS |
|
|
Object Detection (HP)
|
100% |
11412
905.2 IPS |
|
|
Object Detection (Q)
|
86% |
12675
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
339
4.03 IPS |
|
|
Face Detection (HP)
|
100% |
22472
267.0 IPS |
|
|
Face Detection (Q)
|
97% |
72619
866.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
283
2.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
44122
339.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
79819
747.4 IPS |
|
|
Style Transfer (SP)
|
100% |
515
0.66 IPS |
|
|
Style Transfer (HP)
|
98% |
59559
76.8 IPS |
|
|
Style Transfer (Q)
|
98% |
292254
376.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32576
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81909
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
164
218.3 IPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5573
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (HP)
|
100% |
2737
47.2 IPS |
|
|
Machine Translation (Q)
|
55% |
1675
43.9 IPS |
