Sony XQ-EC44
Geekbench AI Score
2212
Single Precision Score
2247
Half Precision Score
3203
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 12:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Sony XQ-EC44 |
| Model ID | Sony XQ-EC44 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1822
338.8 IPS |
|
|
Image Classification (HP)
|
100% |
2128
395.7 IPS |
|
|
Image Classification (Q)
|
100% |
3132
582.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3262
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3881
4.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3860
4.50 IPS |
|
|
Pose Estimation (Q)
|
84% |
7469
8.86 IPS |
|
|
Object Detection (SP)
|
98% |
1645
130.9 IPS |
|
|
Object Detection (HP)
|
98% |
1680
133.7 IPS |
|
|
Object Detection (Q)
|
83% |
2113
170.7 IPS |
|
|
Face Detection (SP)
|
100% |
3119
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (Q)
|
95% |
4851
57.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2781
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2892
22.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4847
44.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7561
9.81 IPS |
|
|
Style Transfer (HP)
|
89% |
7524
9.77 IPS |
|
|
Style Transfer (Q)
|
98% |
14130
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3473
128.7 IPS |
|
|
Text Classification (SP)
|
100% |
668
891.1 IPS |
|
|
Text Classification (HP)
|
99% |
664
885.7 IPS |
|
|
Text Classification (Q)
|
88% |
956
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1494
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1457
25.1 IPS |
|
|
Machine Translation (Q)
|
50% |
640
22.7 IPS |
