Sony XQ-EC44
Geekbench AI Score
395
Single Precision Score
15113
Half Precision Score
38877
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 12:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
313
58.3 IPS |
|
|
Image Classification (HP)
|
100% |
16612
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
43851
8.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
10886
176.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
29572
480.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
484
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
76312
89.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
397260
465.0 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
14706
1.17 KIPS |
|
|
Object Detection (Q)
|
86% |
18731
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (HP)
|
100% |
32911
391.1 IPS |
|
|
Face Detection (Q)
|
97% |
120976
1.44 KIPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
56918
438.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
114180
1.07 KIPS |
|
|
Style Transfer (SP)
|
100% |
742
0.95 IPS |
|
|
Style Transfer (HP)
|
24% |
3674
111.1 IPS |
|
|
Style Transfer (Q)
|
98% |
304914
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39522
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
105333
3.90 KIPS |
|
|
Text Classification (SP)
|
100% |
340
453.7 IPS |
|
|
Text Classification (HP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6726
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (Q)
|
30% |
274
55.0 IPS |
