OnePlus PJF110
Geekbench AI Score
983
Single Precision Score
1178
Half Precision Score
1632
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 05:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus PJF110 |
| Model ID | OnePlus PJF110 |
| 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 | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
846
157.4 IPS |
|
|
Image Classification (HP)
|
100% |
1225
227.8 IPS |
|
|
Image Classification (Q)
|
100% |
1591
295.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
2242
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2284
2.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2702
3.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
5220
6.19 IPS |
|
|
Object Detection (SP)
|
98% |
548
43.6 IPS |
|
|
Object Detection (HP)
|
98% |
583
46.4 IPS |
|
|
Object Detection (Q)
|
83% |
1013
81.8 IPS |
|
|
Face Detection (SP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1133
13.5 IPS |
|
|
Face Detection (Q)
|
95% |
2184
26.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
1183
9.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
1407
10.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2271
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2973
3.86 IPS |
|
|
Style Transfer (HP)
|
89% |
6733
8.74 IPS |
|
|
Style Transfer (Q)
|
98% |
6529
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1253
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1088
40.3 IPS |
|
|
Text Classification (SP)
|
100% |
285
379.9 IPS |
|
|
Text Classification (HP)
|
99% |
562
750.6 IPS |
|
|
Text Classification (Q)
|
88% |
547
738.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
582
10.0 IPS |
|
|
Machine Translation (Q)
|
50% |
369
13.1 IPS |
