Sony Xperia 5 III
Geekbench AI Score
382
Single Precision Score
374
Half Precision Score
386
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 25 2024 01:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 888 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Sony Xperia 5 III |
| Model ID | Sony SOG05 |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.03 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
97% |
400
74.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
233
3.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
203
3.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
386
0.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
385
0.45 IPS |
|
|
Object Detection (SP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
89% |
199
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1050
12.5 IPS |
|
|
Face Detection (Q)
|
97% |
1136
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
988
7.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
1214
9.38 IPS |
|
|
Depth Estimation (Q)
|
62% |
977
9.25 IPS |
|
|
Style Transfer (SP)
|
100% |
2154
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
3499
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3455
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
466
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
441
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
53
70.1 IPS |
|
|
Text Classification (HP)
|
100% |
51
67.7 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.3 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (HP)
|
100% |
86
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.82 IPS |
