OPPO PGEM10
Geekbench AI Score
812
Single Precision Score
992
Half Precision Score
955
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | hass |
| Upload Date | September 11 2024 09:54 PM |
| Views | 14 |
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 | 10.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
612
113.8 IPS |
|
|
Image Classification (HP)
|
100% |
844
156.9 IPS |
|
|
Image Classification (Q)
|
96% |
514
96.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1106
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1002
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
965
1.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1416
1.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1407
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
87% |
810
65.0 IPS |
|
|
Face Detection (SP)
|
100% |
2053
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
1566
18.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1397
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2546
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2206
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3658
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
8191
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
8003
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
439
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
375
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
369
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.6 IPS |
|
|
Text Classification (HP)
|
100% |
207
276.5 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.2 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (Q)
|
57% |
306
7.47 IPS |
