OnePlus 11
Geekbench AI Score
986
Single Precision Score
904
Half Precision Score
1776
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 15 2024 03:36 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8 Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 14.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1031
191.7 IPS |
|
|
Image Classification (HP)
|
100% |
609
113.2 IPS |
|
|
Image Classification (Q)
|
100% |
1229
228.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (Q)
|
98% |
1650
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1890
2.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1823
2.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
4098
4.86 IPS |
|
|
Object Detection (SP)
|
98% |
391
31.1 IPS |
|
|
Object Detection (HP)
|
98% |
433
34.5 IPS |
|
|
Object Detection (Q)
|
87% |
1037
83.3 IPS |
|
|
Face Detection (SP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
925
11.0 IPS |
|
|
Face Detection (Q)
|
95% |
3139
37.5 IPS |
|
|
Depth Estimation (SP)
|
98% |
1607
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2204
17.0 IPS |
|
|
Depth Estimation (Q)
|
75% |
2571
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3639
4.72 IPS |
|
|
Style Transfer (HP)
|
89% |
4484
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
8258
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
765
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1646
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.4 IPS |
|
|
Text Classification (HP)
|
99% |
272
362.7 IPS |
|
|
Text Classification (Q)
|
88% |
640
862.6 IPS |
|
|
Machine Translation (SP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
50% |
518
18.4 IPS |
