Sony Xperia XZ2 Compact
Geekbench AI Score
16
Single Precision Score
16
Half Precision Score
9
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | HimenoSena |
| Upload Date | February 06 2025 06:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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)
|
0% |
0
2.83 KIPS |
|
|
Image Classification (HP)
|
0% |
0
2.84 KIPS |
|
|
Image Classification (Q)
|
0% |
0
4.30 KIPS |
|
|
Image Segmentation (SP)
|
73% |
15737
272.0 IPS |
|
|
Image Segmentation (HP)
|
73% |
15889
274.6 IPS |
|
|
Image Segmentation (Q)
|
73% |
41905
724.2 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
957.5 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
922.1 IPS |
|
|
Pose Estimation (Q)
|
0% |
0
2.44 KIPS |
|
|
Object Detection (SP)
|
0% |
0
1.18 KIPS |
|
|
Object Detection (HP)
|
0% |
0
1.22 KIPS |
|
|
Object Detection (Q)
|
0% |
0
927.2 IPS |
|
|
Face Detection (SP)
|
0% |
0
352.5 IPS |
|
|
Face Detection (HP)
|
0% |
0
349.3 IPS |
|
|
Face Detection (Q)
|
0% |
0
564.5 IPS |
|
|
Depth Estimation (SP)
|
0% |
0
970.6 IPS |
|
|
Depth Estimation (HP)
|
0% |
0
961.8 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
855.2 IPS |
|
|
Style Transfer (SP)
|
32% |
142561
1.79 KIPS |
|
|
Style Transfer (HP)
|
32% |
143374
1.80 KIPS |
|
|
Style Transfer (Q)
|
0% |
0
4.29 KIPS |
|
|
Image Super-Resolution (SP)
|
1% |
0
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
1% |
0
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
2% |
317
3.74 KIPS |
|
|
Text Classification (SP)
|
29% |
704
12.2 KIPS |
|
|
Text Classification (HP)
|
29% |
686
11.9 KIPS |
|
|
Text Classification (Q)
|
29% |
454
7.85 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
7.84 IPS |
|
|
Machine Translation (HP)
|
0% |
0
7.64 IPS |
|
|
Machine Translation (Q)
|
0% |
0
5.90 IPS |
