OnePlus 11
Geekbench AI Score
1226
Single Precision Score
1745
Half Precision Score
1364
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | August 30 2025 08:35 AM |
| Views | 6 |
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 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% |
723
134.5 IPS |
|
|
Image Classification (HP)
|
100% |
1052
195.7 IPS |
|
|
Image Classification (Q)
|
99% |
953
177.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2627
42.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1753
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7673
8.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
13275
15.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
12747
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (HP)
|
99% |
840
66.7 IPS |
|
|
Object Detection (Q)
|
82% |
796
64.4 IPS |
|
|
Face Detection (SP)
|
100% |
2342
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
3694
43.9 IPS |
|
|
Face Detection (Q)
|
97% |
2636
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3628
27.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4591
35.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3710
34.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9503
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
17862
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16838
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1748
64.8 IPS |
|
|
Text Classification (SP)
|
35% |
24
234.2 IPS |
|
|
Text Classification (HP)
|
35% |
29
265.4 IPS |
|
|
Text Classification (Q)
|
35% |
26
250.0 IPS |
|
|
Machine Translation (SP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (HP)
|
97% |
505
8.73 IPS |
|
|
Machine Translation (Q)
|
49% |
177
6.64 IPS |
