Sony XQ-EC44
Geekbench AI Score
1159
Single Precision Score
1643
Half Precision Score
1597
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | kyk |
| Upload Date | August 22 2024 06:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
677
125.9 IPS |
|
|
Image Classification (HP)
|
100% |
811
150.8 IPS |
|
|
Image Classification (Q)
|
99% |
755
140.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1228
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1201
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2625
3.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
2608
3.06 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (HP)
|
100% |
855
67.8 IPS |
|
|
Object Detection (Q)
|
89% |
732
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (Q)
|
97% |
2450
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1927
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3771
29.1 IPS |
|
|
Depth Estimation (Q)
|
74% |
3518
28.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6801
8.74 IPS |
|
|
Style Transfer (HP)
|
100% |
10887
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10653
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1694
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1531
56.7 IPS |
|
|
Text Classification (SP)
|
100% |
451
601.9 IPS |
|
|
Text Classification (HP)
|
100% |
453
605.0 IPS |
|
|
Text Classification (Q)
|
91% |
740
994.8 IPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (Q)
|
57% |
589
14.4 IPS |
