OnePlus PJD110
Geekbench AI Score
2522
Single Precision Score
2520
Half Precision Score
2989
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 12:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PJD110 |
| Model ID | OnePlus PJD110 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.89 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1705
317.0 IPS |
|
|
Image Classification (HP)
|
100% |
1983
368.8 IPS |
|
|
Image Classification (Q)
|
100% |
2711
504.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3342
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4195
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
3924
4.58 IPS |
|
|
Pose Estimation (Q)
|
84% |
8061
9.56 IPS |
|
|
Object Detection (SP)
|
98% |
1605
127.8 IPS |
|
|
Object Detection (HP)
|
98% |
1586
126.2 IPS |
|
|
Object Detection (Q)
|
83% |
2088
168.7 IPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3577
42.5 IPS |
|
|
Face Detection (Q)
|
95% |
5209
62.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3895
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3686
28.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5023
46.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9696
12.6 IPS |
|
|
Style Transfer (HP)
|
89% |
9596
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17047
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1654
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2956
109.5 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
88% |
744
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1761
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1714
29.5 IPS |
|
|
Machine Translation (Q)
|
50% |
381
13.5 IPS |
