Sony Xperia XZ2 Compact
Geekbench AI Score
219
Single Precision Score
432
Half Precision Score
408
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 06 2025 06:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
248
46.1 IPS |
|
|
Image Classification (HP)
|
100% |
338
62.8 IPS |
|
|
Image Classification (Q)
|
97% |
331
61.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
390
6.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
690
0.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
684
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
89% |
221
17.7 IPS |
|
|
Face Detection (SP)
|
100% |
687
8.16 IPS |
|
|
Face Detection (HP)
|
100% |
864
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
846
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
606
4.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
819
6.33 IPS |
|
|
Depth Estimation (Q)
|
62% |
668
6.33 IPS |
|
|
Style Transfer (SP)
|
100% |
1377
1.77 IPS |
|
|
Style Transfer (HP)
|
100% |
1957
2.52 IPS |
|
|
Style Transfer (Q)
|
98% |
1930
2.49 IPS |
|
|
Image Super-Resolution (SP)
|
14% |
4
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
97% |
427
15.8 IPS |
|
|
Image Super-Resolution (Q)
|
95% |
422
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
104
139.3 IPS |
|
|
Text Classification (HP)
|
100% |
105
139.5 IPS |
|
|
Text Classification (Q)
|
91% |
125
168.1 IPS |
|
|
Machine Translation (SP)
|
100% |
182
3.14 IPS |
|
|
Machine Translation (HP)
|
100% |
183
3.15 IPS |
|
|
Machine Translation (Q)
|
57% |
116
2.83 IPS |
