Sony Xperia 5 III
Geekbench AI Score
317
Single Precision Score
316
Half Precision Score
611
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 25 2024 02:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
177
32.9 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
100% |
432
80.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
518
8.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
637
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
1090
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
83% |
482
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
383
4.55 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (Q)
|
95% |
930
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
524
4.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1046
9.58 IPS |
|
|
Style Transfer (SP)
|
89% |
1112
1.44 IPS |
|
|
Style Transfer (HP)
|
89% |
1141
1.48 IPS |
|
|
Style Transfer (Q)
|
98% |
2527
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
320
11.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
606
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
173
230.5 IPS |
|
|
Text Classification (HP)
|
100% |
172
229.6 IPS |
|
|
Text Classification (Q)
|
88% |
271
365.4 IPS |
|
|
Machine Translation (SP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.18 IPS |
|
|
Machine Translation (Q)
|
50% |
154
5.47 IPS |
