Sony XQ-DE54
Geekbench AI Score
282
Single Precision Score
16170
Half Precision Score
36559
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 19 2025 12:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-DE54 |
| Model ID | Sony XQ-DE54 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
12488
2.32 KIPS |
|
|
Image Classification (Q)
|
97% |
32207
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
7592
123.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21092
343.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72064
84.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
294547
344.7 IPS |
|
|
Object Detection (SP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
11801
936.0 IPS |
|
|
Object Detection (Q)
|
86% |
13381
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (HP)
|
100% |
24023
285.4 IPS |
|
|
Face Detection (Q)
|
97% |
82000
977.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
382
2.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
44708
344.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
81018
758.6 IPS |
|
|
Style Transfer (SP)
|
100% |
685
0.88 IPS |
|
|
Style Transfer (HP)
|
98% |
60361
77.8 IPS |
|
|
Style Transfer (Q)
|
98% |
293664
378.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
185
6.84 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32610
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82287
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
222
295.9 IPS |
|
|
Text Classification (HP)
|
100% |
2516
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5655
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
401
6.90 IPS |
|
|
Machine Translation (HP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1755
46.0 IPS |
