Sony Xperia 5 III
Geekbench AI Score
367
Single Precision Score
372
Half Precision Score
376
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 25 2024 01:37 PM |
| Views | 5 |
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% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (Q)
|
97% |
361
67.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
208
3.38 IPS |
|
|
Image Segmentation (Q)
|
98% |
204
3.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
376
0.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
376
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (Q)
|
89% |
209
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
1074
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
987
7.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
1181
9.12 IPS |
|
|
Depth Estimation (Q)
|
62% |
986
9.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1934
2.49 IPS |
|
|
Style Transfer (HP)
|
100% |
3286
4.22 IPS |
|
|
Style Transfer (Q)
|
98% |
3262
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
413
15.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
52
69.2 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.5 IPS |
|
|
Text Classification (Q)
|
91% |
96
129.2 IPS |
|
|
Machine Translation (SP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (HP)
|
100% |
85
1.47 IPS |
|
|
Machine Translation (Q)
|
57% |
74
1.80 IPS |
