OPPO PGEM10
Geekbench AI Score
261
Single Precision Score
261
Half Precision Score
592
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 12 2024 12:44 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OPPO PGEM10 |
| Model ID | OPPO PGEM10 |
| Motherboard | kalama |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
27.9 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.0 IPS |
|
|
Image Classification (Q)
|
99% |
388
72.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
410
6.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1020
1.19 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
87% |
419
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
424
5.04 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.06 IPS |
|
|
Face Detection (Q)
|
97% |
874
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
355
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
355
2.74 IPS |
|
|
Depth Estimation (Q)
|
64% |
821
7.45 IPS |
|
|
Style Transfer (SP)
|
100% |
636
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
637
0.82 IPS |
|
|
Style Transfer (Q)
|
98% |
1750
2.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
169
6.26 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
169
6.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
587
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
208
277.0 IPS |
|
|
Text Classification (HP)
|
100% |
208
277.0 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.4 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (Q)
|
57% |
306
7.49 IPS |
