Sony XQ-DQ72
Geekbench AI Score
260
Single Precision Score
15862
Half Precision Score
35925
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | restuff |
| Upload Date | October 13 2025 09:38 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
149
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
12323
2.29 KIPS |
|
|
Image Classification (Q)
|
97% |
32187
6.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
7387
119.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20800
338.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
70904
82.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
294615
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
11593
919.5 IPS |
|
|
Object Detection (Q)
|
86% |
13115
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
23301
276.9 IPS |
|
|
Face Detection (Q)
|
97% |
77757
927.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
353
2.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
44570
343.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
80503
753.8 IPS |
|
|
Style Transfer (SP)
|
100% |
635
0.82 IPS |
|
|
Style Transfer (HP)
|
98% |
60083
77.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293255
378.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
170
6.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32487
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
82090
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
205
274.1 IPS |
|
|
Text Classification (HP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5345
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
368
6.33 IPS |
|
|
Machine Translation (HP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (Q)
|
55% |
1719
45.0 IPS |
