OPPO PGFM10
Geekbench AI Score
1475
Single Precision Score
1510
Half Precision Score
2356
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 05:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1067
198.4 IPS |
|
|
Image Classification (HP)
|
100% |
1123
208.9 IPS |
|
|
Image Classification (Q)
|
100% |
1571
292.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1937
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2173
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2181
2.54 IPS |
|
|
Pose Estimation (Q)
|
84% |
5244
6.22 IPS |
|
|
Object Detection (SP)
|
98% |
1125
89.6 IPS |
|
|
Object Detection (HP)
|
98% |
962
76.6 IPS |
|
|
Object Detection (Q)
|
83% |
1561
126.1 IPS |
|
|
Face Detection (SP)
|
100% |
2351
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (Q)
|
95% |
3279
39.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2211
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2202
17.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4037
37.0 IPS |
|
|
Style Transfer (SP)
|
89% |
4410
5.72 IPS |
|
|
Style Transfer (HP)
|
89% |
5172
6.71 IPS |
|
|
Style Transfer (Q)
|
98% |
10622
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1115
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1136
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2372
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
493
657.5 IPS |
|
|
Text Classification (HP)
|
99% |
580
774.3 IPS |
|
|
Text Classification (Q)
|
88% |
1028
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
617
21.9 IPS |
