OnePlus Ace3V OnePlus PJF110
Geekbench AI Score
2014
Single Precision Score
1983
Half Precision Score
3408
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LazaruX512 |
| Upload Date | February 21 2025 05:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1538
286.0 IPS |
|
|
Image Classification (HP)
|
100% |
1523
283.3 IPS |
|
|
Image Classification (Q)
|
100% |
2807
522.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2990
48.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3162
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
6769
8.03 IPS |
|
|
Object Detection (SP)
|
98% |
1449
115.3 IPS |
|
|
Object Detection (HP)
|
98% |
1473
117.2 IPS |
|
|
Object Detection (Q)
|
83% |
2426
196.0 IPS |
|
|
Face Detection (SP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (Q)
|
95% |
5570
66.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2778
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2694
20.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5366
49.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7664
9.95 IPS |
|
|
Style Transfer (HP)
|
89% |
7635
9.91 IPS |
|
|
Style Transfer (Q)
|
98% |
14787
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3534
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
718
958.8 IPS |
|
|
Text Classification (HP)
|
99% |
711
949.3 IPS |
|
|
Text Classification (Q)
|
88% |
1347
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (Q)
|
50% |
729
25.9 IPS |
