OPPO PGEM10
Geekbench AI Score
261
Single Precision Score
11811
Half Precision Score
27890
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 12 2024 03:10 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
12877
2.39 KIPS |
|
|
Image Classification (Q)
|
97% |
32624
6.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
7495
121.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19962
324.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
269
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
72179
84.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
293609
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (HP)
|
100% |
11773
933.8 IPS |
|
|
Object Detection (Q)
|
86% |
12656
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
425
5.05 IPS |
|
|
Face Detection (HP)
|
100% |
23548
279.8 IPS |
|
|
Face Detection (Q)
|
97% |
81114
967.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
356
2.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
42735
329.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
80752
756.1 IPS |
|
|
Style Transfer (SP)
|
100% |
638
0.82 IPS |
|
|
Style Transfer (HP)
|
24% |
2926
88.5 IPS |
|
|
Style Transfer (Q)
|
98% |
220618
284.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.31 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32222
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82248
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
205
273.5 IPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5352
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (HP)
|
100% |
2782
47.9 IPS |
|
|
Machine Translation (Q)
|
30% |
185
37.2 IPS |
