Sony XQ-EC54
Geekbench AI Score
479
Single Precision Score
21104
Half Precision Score
51812
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 04:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-EC54 |
| Model ID | Sony XQ-EC54 |
| 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% |
313
58.3 IPS |
|
|
Image Classification (HP)
|
100% |
16817
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
43087
8.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
10945
177.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31599
513.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
495
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
76190
88.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
399656
467.8 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
100% |
14941
1.19 KIPS |
|
|
Object Detection (Q)
|
86% |
20535
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (HP)
|
100% |
33508
398.1 IPS |
|
|
Face Detection (Q)
|
97% |
128730
1.54 KIPS |
|
|
Depth Estimation (SP)
|
100% |
618
4.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
58972
454.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
118267
1.11 KIPS |
|
|
Style Transfer (SP)
|
100% |
1000
1.29 IPS |
|
|
Style Transfer (HP)
|
98% |
82702
106.6 IPS |
|
|
Style Transfer (Q)
|
98% |
423157
545.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
291
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41071
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
104105
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
433
578.2 IPS |
|
|
Text Classification (HP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6908
9.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3830
66.0 IPS |
|
|
Machine Translation (Q)
|
55% |
2693
70.6 IPS |
