OPPO PGFM10
Geekbench AI Score
1053
Single Precision Score
1515
Half Precision Score
1175
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 05:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OPPO PGFM10 |
| Model ID | OPPO PGFM10 |
| Motherboard | k6985v1_64 |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 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 @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 11.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
579
107.7 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (Q)
|
97% |
614
114.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2582
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2141
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6099
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
11105
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11120
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (HP)
|
99% |
793
62.9 IPS |
|
|
Object Detection (Q)
|
83% |
753
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
4382
52.1 IPS |
|
|
Face Detection (Q)
|
96% |
3525
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3875
29.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5428
41.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4059
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8391
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14951
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
14832
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1063
39.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2147
79.6 IPS |
|
|
Text Classification (SP)
|
35% |
19
176.6 IPS |
|
|
Text Classification (HP)
|
35% |
16
144.7 IPS |
|
|
Text Classification (Q)
|
32% |
12
149.2 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (HP)
|
100% |
350
6.03 IPS |
|
|
Machine Translation (Q)
|
43% |
84
4.87 IPS |
