OPPO PJC110
Geekbench AI Score
579
Single Precision Score
907
Half Precision Score
813
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 15 2026 07:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO PJC110 |
| Model ID | OPPO PJC110 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.71 GHz |
| Memory Information | |
|---|---|
| Size | 7.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
408
76.0 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.5 IPS |
|
|
Image Classification (Q)
|
99% |
562
104.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
880
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2662
3.11 IPS |
|
|
Pose Estimation (HP)
|
99% |
4768
5.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
4691
5.49 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
99% |
532
42.2 IPS |
|
|
Object Detection (Q)
|
85% |
494
39.7 IPS |
|
|
Face Detection (SP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1718
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
1445
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1630
12.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2634
20.4 IPS |
|
|
Depth Estimation (Q)
|
65% |
2169
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3388
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
6848
8.80 IPS |
|
|
Style Transfer (Q)
|
98% |
6576
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1038
38.5 IPS |
|
|
Text Classification (SP)
|
35% |
22
217.4 IPS |
|
|
Text Classification (HP)
|
35% |
35
319.1 IPS |
|
|
Text Classification (Q)
|
35% |
36
326.7 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
97% |
197
3.41 IPS |
|
|
Machine Translation (Q)
|
64% |
144
2.97 IPS |
