OnePlus Ace3V OnePlus PJF110
Geekbench AI Score
684
Single Precision Score
1052
Half Precision Score
1056
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | February 21 2025 05:54 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
523
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (Q)
|
96% |
773
144.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
703
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1427
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
769
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1327
1.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
1324
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
87% |
634
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
2601
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
2461
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1097
8.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
1973
15.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1645
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3476
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
5570
7.16 IPS |
|
|
Style Transfer (Q)
|
98% |
5539
7.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
773
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.5 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.2 IPS |
|
|
Text Classification (Q)
|
91% |
350
470.3 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.38 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (Q)
|
57% |
311
7.60 IPS |
