OPPO PGEM10
Geekbench AI Score
698
Single Precision Score
971
Half Precision Score
943
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | 5j3rul3 |
| Upload Date | August 31 2024 01:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 14.83 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
615
114.5 IPS |
|
|
Image Classification (HP)
|
100% |
828
153.9 IPS |
|
|
Image Classification (Q)
|
99% |
889
165.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1572
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
958
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
1372
1.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
1351
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
327
25.9 IPS |
|
|
Object Detection (HP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (Q)
|
89% |
553
44.2 IPS |
|
|
Face Detection (SP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
2457
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
2310
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
967
7.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
1832
14.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
1739
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2532
3.26 IPS |
|
|
Style Transfer (HP)
|
100% |
5760
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
5677
7.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
214
7.92 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
218
8.06 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.6 IPS |
|
|
Text Classification (HP)
|
100% |
255
339.9 IPS |
|
|
Text Classification (Q)
|
91% |
370
496.8 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.83 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.35 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.11 IPS |
