Sony XQ-DQ72
Geekbench AI Score
1635
Single Precision Score
2552
Half Precision Score
2126
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | restuff |
| Upload Date | October 13 2025 09:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-DQ72 |
| Model ID | Sony XQ-DQ72 |
| 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% |
1020
189.7 IPS |
|
|
Image Classification (HP)
|
100% |
1391
258.8 IPS |
|
|
Image Classification (Q)
|
99% |
1350
251.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3392
55.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2900
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7737
9.03 IPS |
|
|
Pose Estimation (HP)
|
99% |
14183
16.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
13743
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
863
68.4 IPS |
|
|
Object Detection (HP)
|
99% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
82% |
1234
100.0 IPS |
|
|
Face Detection (SP)
|
100% |
3426
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
5968
70.9 IPS |
|
|
Face Detection (Q)
|
97% |
4951
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4064
31.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5929
45.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
4799
45.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9804
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21501
27.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21338
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2120
78.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3245
119.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3212
119.0 IPS |
|
|
Text Classification (SP)
|
35% |
42
410.6 IPS |
|
|
Text Classification (HP)
|
35% |
60
548.9 IPS |
|
|
Text Classification (Q)
|
35% |
54
530.5 IPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
97% |
890
15.4 IPS |
|
|
Machine Translation (Q)
|
49% |
324
12.2 IPS |
