Sony XQ-EC44
Geekbench AI Score
1051
Single Precision Score
1416
Half Precision Score
1479
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 12:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Sony XQ-EC44 |
| Model ID | Sony XQ-EC44 |
| Motherboard | pineapple |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
835
155.2 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.0 IPS |
|
|
Image Classification (Q)
|
96% |
754
140.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1542
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1196
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
2561
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
87% |
1102
88.5 IPS |
|
|
Face Detection (SP)
|
100% |
2693
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (Q)
|
97% |
2338
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1924
14.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3809
29.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
3126
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6788
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
7439
9.56 IPS |
|
|
Style Transfer (Q)
|
98% |
6907
8.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
436
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1620
60.0 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.9 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.4 IPS |
|
|
Text Classification (Q)
|
91% |
477
641.4 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.57 IPS |
