OPPO PGT110
Geekbench AI Score
573
Single Precision Score
576
Half Precision Score
1156
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 17 2025 05:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO PGT110 |
| Model ID | OPPO PGT110 |
| Motherboard | k6983v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.20 GHz |
| Memory Information | |
|---|---|
| Size | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
295
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.1 IPS |
|
|
Image Classification (Q)
|
100% |
819
152.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
346
5.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
815
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1268
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1282
1.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
2653
3.15 IPS |
|
|
Object Detection (SP)
|
98% |
298
23.7 IPS |
|
|
Object Detection (HP)
|
98% |
298
23.7 IPS |
|
|
Object Detection (Q)
|
83% |
758
61.3 IPS |
|
|
Face Detection (SP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (HP)
|
100% |
702
8.35 IPS |
|
|
Face Detection (Q)
|
95% |
1763
21.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
969
7.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
960
7.42 IPS |
|
|
Depth Estimation (Q)
|
64% |
1896
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2453
3.18 IPS |
|
|
Style Transfer (HP)
|
89% |
2405
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
5236
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
512
18.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1233
45.7 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.4 IPS |
|
|
Text Classification (HP)
|
99% |
276
368.2 IPS |
|
|
Text Classification (Q)
|
88% |
539
727.4 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.04 IPS |
|
|
Machine Translation (Q)
|
50% |
274
9.71 IPS |
