OPPO PJC110
Geekbench AI Score
880
Single Precision Score
871
Half Precision Score
1958
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 15 2026 07:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
462
85.9 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
100% |
1383
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
1668
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1877
2.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
3765
4.47 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (Q)
|
83% |
1408
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (Q)
|
95% |
3354
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1463
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1481
11.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3455
31.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3507
4.55 IPS |
|
|
Style Transfer (HP)
|
89% |
3276
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
7849
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1896
70.3 IPS |
|
|
Text Classification (SP)
|
100% |
473
631.2 IPS |
|
|
Text Classification (HP)
|
100% |
469
625.4 IPS |
|
|
Text Classification (Q)
|
88% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
443
15.7 IPS |
