OnePlus PJA110
Geekbench AI Score
947
Single Precision Score
1301
Half Precision Score
1295
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | vitorcalvi |
| Upload Date | March 06 2025 12:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus PJA110 |
| Model ID | OnePlus PJA110 |
| 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 | 22.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
673
125.1 IPS |
|
|
Image Classification (HP)
|
100% |
869
161.6 IPS |
|
|
Image Classification (Q)
|
96% |
805
150.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2070
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
968
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1436
1.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1428
1.67 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.1 IPS |
|
|
Object Detection (HP)
|
100% |
796
63.1 IPS |
|
|
Object Detection (Q)
|
87% |
832
66.8 IPS |
|
|
Face Detection (SP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
3218
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1396
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2627
20.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2324
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3667
4.71 IPS |
|
|
Style Transfer (HP)
|
100% |
8280
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8186
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
387
14.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
365
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
433
578.0 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.3 IPS |
|
|
Text Classification (Q)
|
91% |
616
827.9 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
57% |
487
11.9 IPS |
