OPPO PGT110
Geekbench AI Score
1060
Single Precision Score
1534
Half Precision Score
1170
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 17 2025 05:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
475
88.4 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
97% |
441
82.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1430
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2032
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6268
7.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
12832
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12522
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (HP)
|
99% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
83% |
800
64.6 IPS |
|
|
Face Detection (SP)
|
100% |
2623
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
3763
44.7 IPS |
|
|
Face Detection (Q)
|
96% |
2972
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3715
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6084
47.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4717
44.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8276
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20148
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19951
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2092
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2000
74.1 IPS |
|
|
Text Classification (SP)
|
35% |
14
125.1 IPS |
|
|
Text Classification (HP)
|
35% |
20
184.3 IPS |
|
|
Text Classification (Q)
|
32% |
12
159.6 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
43% |
80
4.67 IPS |
