Acer Swift SF14-11
Geekbench ML Score
2861
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 30 2024 04:14 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-11 |
| Motherboard | SX1 Bluetang_SX1 |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
716
134.0 IPS |
|
|
Image Classification (F16)
|
100% |
731
136.7 IPS |
|
|
Image Classification (I8)
|
99% |
3929
735.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
802
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2312
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5750
6.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
5684
6.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
22283
27.0 IPS |
|
|
Object Detection (F32)
|
100% |
914
68.2 IPS |
|
|
Object Detection (F16)
|
100% |
897
67.0 IPS |
|
|
Object Detection (I8)
|
65% |
3347
249.9 IPS |
|
|
Face Detection (F32)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (F16)
|
100% |
1918
22.8 IPS |
|
|
Face Detection (I8)
|
89% |
6209
73.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2549
19.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2604
20.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
14009
108.6 IPS |
|
|
Style Transfer (F32)
|
100% |
14203
18.7 IPS |
|
|
Style Transfer (F16)
|
100% |
14441
19.0 IPS |
|
|
Style Transfer (I8)
|
98% |
33488
44.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2298
82.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2297
82.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3842
137.2 IPS |
|
|
Text Classification (F32)
|
100% |
1459
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1453
2.09 KIPS |
|
|
Text Classification (I8)
|
98% |
1167
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
1716
31.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1806
33.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3553
65.4 IPS |
