OnePlus 11
Geekbench AI Score
1318
Single Precision Score
2055
Half Precision Score
1579
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 03 2025 04:25 PM |
| Views | 3 |
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% |
733
136.3 IPS |
|
|
Image Classification (HP)
|
100% |
995
185.1 IPS |
|
|
Image Classification (Q)
|
99% |
962
179.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2798
45.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1763
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7670
8.95 IPS |
|
|
Pose Estimation (HP)
|
99% |
13395
15.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
12778
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
637
50.5 IPS |
|
|
Object Detection (HP)
|
99% |
864
68.5 IPS |
|
|
Object Detection (Q)
|
82% |
888
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (Q)
|
97% |
2952
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3622
27.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5565
43.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
4503
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10062
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19601
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19374
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2801
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1896
70.3 IPS |
|
|
Text Classification (SP)
|
35% |
29
279.9 IPS |
|
|
Text Classification (HP)
|
35% |
43
387.4 IPS |
|
|
Text Classification (Q)
|
35% |
43
421.0 IPS |
|
|
Machine Translation (SP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (HP)
|
97% |
853
14.8 IPS |
|
|
Machine Translation (Q)
|
49% |
239
8.98 IPS |
