Sony XQ-FS72
Geekbench AI Score
546
Single Precision Score
27239
Half Precision Score
60976
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 01 2025 08:51 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Sony XQ-FS72 |
| Model ID | Sony XQ-FS72 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (HP)
|
100% |
21472
3.99 KIPS |
|
|
Image Classification (Q)
|
97% |
50282
9.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
13691
221.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
40906
665.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
594
0.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
122884
143.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
474322
555.2 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
18596
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
21134
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
651
7.73 IPS |
|
|
Face Detection (HP)
|
100% |
42122
500.5 IPS |
|
|
Face Detection (Q)
|
97% |
145805
1.74 KIPS |
|
|
Depth Estimation (SP)
|
100% |
909
7.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
83672
644.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
143170
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
1282
1.65 IPS |
|
|
Style Transfer (HP)
|
98% |
98631
127.2 IPS |
|
|
Style Transfer (Q)
|
98% |
491166
633.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53867
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134317
4.98 KIPS |
|
|
Text Classification (SP)
|
100% |
363
484.8 IPS |
|
|
Text Classification (HP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
8001
10.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (Q)
|
56% |
3128
80.6 IPS |
