Sony XQ-EC44
Geekbench AI Score
2016
Single Precision Score
3093
Half Precision Score
2398
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 03:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 14.92 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
1902
353.7 IPS |
|
|
Image Classification (Q)
|
100% |
1703
316.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2607
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4745
76.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3778
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10113
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
18776
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18568
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1052
83.5 IPS |
|
|
Object Detection (HP)
|
99% |
1548
122.8 IPS |
|
|
Object Detection (Q)
|
87% |
1505
120.8 IPS |
|
|
Face Detection (SP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7314
86.9 IPS |
|
|
Face Detection (Q)
|
97% |
5535
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5097
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7640
59.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
5752
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13093
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26869
34.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26676
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2742
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4613
170.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4494
166.6 IPS |
|
|
Text Classification (SP)
|
35% |
49
472.7 IPS |
|
|
Text Classification (HP)
|
35% |
63
577.0 IPS |
|
|
Text Classification (Q)
|
33% |
48
575.1 IPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
97% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
43% |
191
10.9 IPS |
