OnePlus PJE110
Geekbench AI Score
789
Single Precision Score
1055
Half Precision Score
949
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 22 2024 02:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus PJE110 |
| Model ID | OnePlus PJE110 |
| 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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
586
109.1 IPS |
|
|
Image Classification (HP)
|
100% |
1019
189.6 IPS |
|
|
Image Classification (Q)
|
96% |
921
172.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1078
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
841
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
942
1.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1370
1.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
1353
1.59 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
87% |
799
64.2 IPS |
|
|
Face Detection (SP)
|
100% |
2012
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (Q)
|
97% |
1396
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1398
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2534
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1850
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3660
4.71 IPS |
|
|
Style Transfer (HP)
|
100% |
8168
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7916
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
327
12.1 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.3 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.4 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.4 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
57% |
310
7.57 IPS |
