OnePlus Ace3V OnePlus PJF110
Geekbench AI Score
276
Single Precision Score
277
Half Precision Score
594
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | February 22 2025 12:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus PJF110 |
| Model ID | OnePlus PJF110 |
| Motherboard | pineapple |
| Governor | walt |
| 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 | 14.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
268
49.9 IPS |
|
|
Image Classification (HP)
|
100% |
271
50.4 IPS |
|
|
Image Classification (Q)
|
99% |
382
71.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
197
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
411
6.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
270
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
270
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1021
1.20 IPS |
|
|
Object Detection (SP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
87% |
420
33.7 IPS |
|
|
Face Detection (SP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (HP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (Q)
|
97% |
874
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
353
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
354
2.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
820
7.44 IPS |
|
|
Style Transfer (SP)
|
100% |
650
0.84 IPS |
|
|
Style Transfer (HP)
|
100% |
650
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
1802
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
585
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
207
275.7 IPS |
|
|
Text Classification (HP)
|
100% |
207
276.7 IPS |
|
|
Text Classification (Q)
|
91% |
351
471.6 IPS |
|
|
Machine Translation (SP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
57% |
311
7.59 IPS |
