OnePlus 11
Geekbench AI Score
308
Single Precision Score
16028
Half Precision Score
36049
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 04:21 PM |
| Views | 3 |
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% |
187
34.7 IPS |
|
|
Image Classification (HP)
|
100% |
12579
2.34 KIPS |
|
|
Image Classification (Q)
|
97% |
31816
5.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
230
3.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
7306
118.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20727
337.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
324
0.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
71957
84.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
292812
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
11540
915.3 IPS |
|
|
Object Detection (Q)
|
86% |
13236
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
472
5.61 IPS |
|
|
Face Detection (HP)
|
100% |
23776
282.5 IPS |
|
|
Face Detection (Q)
|
97% |
77043
918.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
43724
336.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
79713
746.4 IPS |
|
|
Style Transfer (SP)
|
100% |
673
0.87 IPS |
|
|
Style Transfer (HP)
|
98% |
59609
76.9 IPS |
|
|
Style Transfer (Q)
|
98% |
292330
377.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
213
7.85 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32161
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
81687
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
261
348.7 IPS |
|
|
Text Classification (HP)
|
100% |
2513
3.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
436
7.52 IPS |
|
|
Machine Translation (HP)
|
100% |
2928
50.4 IPS |
|
|
Machine Translation (Q)
|
55% |
1761
46.1 IPS |
