Sony XQ-DQ54
Geekbench AI Score
274
Single Precision Score
16077
Half Precision Score
36313
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Lazerdude |
| Upload Date | November 21 2025 02:02 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-DQ54 |
| Model ID | Sony XQ-DQ54 |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
12480
2.32 KIPS |
|
|
Image Classification (Q)
|
97% |
32286
6.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
212
3.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
7491
121.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21095
343.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
289
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
72855
85.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
293572
343.6 IPS |
|
|
Object Detection (SP)
|
100% |
155
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
11657
924.6 IPS |
|
|
Object Detection (Q)
|
86% |
13260
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
441
5.25 IPS |
|
|
Face Detection (HP)
|
100% |
23613
280.6 IPS |
|
|
Face Detection (Q)
|
97% |
78998
942.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
368
2.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
44701
344.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
80729
755.9 IPS |
|
|
Style Transfer (SP)
|
100% |
657
0.84 IPS |
|
|
Style Transfer (HP)
|
98% |
60862
78.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293457
378.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
178
6.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32234
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82240
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
215
286.4 IPS |
|
|
Text Classification (HP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5658
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (HP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1727
45.2 IPS |
