OPPO PGEM10
Geekbench AI Score
992
Single Precision Score
884
Half Precision Score
1628
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 11 2024 09:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
897
166.7 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.9 IPS |
|
|
Image Classification (Q)
|
100% |
1094
203.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.24 IPS |
|
|
Image Segmentation (Q)
|
98% |
1116
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1721
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1728
2.02 IPS |
|
|
Pose Estimation (Q)
|
84% |
3592
4.26 IPS |
|
|
Object Detection (SP)
|
98% |
651
51.8 IPS |
|
|
Object Detection (HP)
|
98% |
709
56.5 IPS |
|
|
Object Detection (Q)
|
83% |
1259
101.7 IPS |
|
|
Face Detection (SP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
964
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
2726
32.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1623
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1128
8.72 IPS |
|
|
Depth Estimation (Q)
|
64% |
2356
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3556
4.62 IPS |
|
|
Style Transfer (HP)
|
89% |
3663
4.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6540
8.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1927
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
315
421.1 IPS |
|
|
Text Classification (HP)
|
99% |
401
535.7 IPS |
|
|
Text Classification (Q)
|
88% |
700
943.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1134
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
420
14.9 IPS |
