Sony Xperia 10 III
Geekbench AI Score
142
Single Precision Score
222
Half Precision Score
228
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | grinceur |
| Upload Date | November 27 2024 03:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 690 5G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Sony Xperia 10 III |
| Model ID | Sony XQ-BT52 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.07 GHz |
| Memory Information | |
|---|---|
| Size | 5.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
79
14.6 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.7 IPS |
|
|
Image Classification (Q)
|
97% |
139
25.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
100
1.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
169
2.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
154
0.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
243
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
68
5.40 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.29 IPS |
|
|
Object Detection (Q)
|
89% |
108
8.61 IPS |
|
|
Face Detection (SP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (Q)
|
97% |
338
4.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
189
1.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
343
2.65 IPS |
|
|
Depth Estimation (Q)
|
62% |
282
2.67 IPS |
|
|
Style Transfer (SP)
|
100% |
362
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
793
1.02 IPS |
|
|
Style Transfer (Q)
|
98% |
787
1.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
91
3.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.17 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
165
6.11 IPS |
|
|
Text Classification (SP)
|
100% |
149
199.3 IPS |
|
|
Text Classification (HP)
|
100% |
149
198.4 IPS |
|
|
Text Classification (Q)
|
91% |
269
361.0 IPS |
|
|
Machine Translation (SP)
|
100% |
251
4.33 IPS |
|
|
Machine Translation (HP)
|
100% |
251
4.32 IPS |
|
|
Machine Translation (Q)
|
57% |
188
4.59 IPS |
