Sony Xperia XZ2 Compact
Geekbench AI Score
247
Single Precision Score
162
Half Precision Score
225
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 06 2025 06:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Sony Xperia XZ2 Compact |
| Model ID | Sony Xperia XZ2 Compact |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
263
48.9 IPS |
|
|
Image Classification (HP)
|
100% |
71
13.3 IPS |
|
|
Image Classification (Q)
|
99% |
113
21.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
105
1.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
97
1.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
132
2.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
991
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2342
2.73 IPS |
|
|
Pose Estimation (Q)
|
98% |
253
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
72
5.72 IPS |
|
|
Object Detection (HP)
|
100% |
72
5.73 IPS |
|
|
Object Detection (Q)
|
87% |
117
9.34 IPS |
|
|
Face Detection (SP)
|
100% |
829
9.85 IPS |
|
|
Face Detection (HP)
|
100% |
183
2.18 IPS |
|
|
Face Detection (Q)
|
97% |
275
3.28 IPS |
|
|
Depth Estimation (SP)
|
99% |
324
2.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
159
1.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
220
2.00 IPS |
|
|
Style Transfer (SP)
|
100% |
298
0.38 IPS |
|
|
Style Transfer (HP)
|
100% |
290
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
538
0.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
331
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
80
2.95 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2000
74.1 IPS |
|
|
Text Classification (SP)
|
100% |
96
128.4 IPS |
|
|
Text Classification (HP)
|
100% |
96
127.9 IPS |
|
|
Text Classification (Q)
|
91% |
113
152.5 IPS |
|
|
Machine Translation (SP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (Q)
|
57% |
107
2.61 IPS |
