OnePlus 11
Geekbench AI Score
954
Single Precision Score
1346
Half Precision Score
1287
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | all3open |
| Upload Date | February 17 2025 06:09 AM |
| Views | 17 |
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 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% |
639
118.8 IPS |
|
|
Image Classification (HP)
|
100% |
1112
206.8 IPS |
|
|
Image Classification (Q)
|
96% |
783
146.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1522
24.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
969
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1431
1.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
1427
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (Q)
|
87% |
842
67.6 IPS |
|
|
Face Detection (SP)
|
100% |
2184
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3248
38.6 IPS |
|
|
Face Detection (Q)
|
97% |
3311
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1439
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2781
21.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2271
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3649
4.69 IPS |
|
|
Style Transfer (HP)
|
100% |
8254
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8100
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
447
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
392
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.8 IPS |
|
|
Text Classification (HP)
|
100% |
461
615.1 IPS |
|
|
Text Classification (Q)
|
91% |
692
930.1 IPS |
|
|
Machine Translation (SP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
57% |
529
12.9 IPS |
