Acer Swift SF14-11
Geekbench ML Score
2879
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 03 2024 12:52 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 | Balanced |
| 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% |
710
132.9 IPS |
|
|
Image Classification (F16)
|
100% |
717
134.1 IPS |
|
|
Image Classification (I8)
|
99% |
4003
749.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
796
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
816
13.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2315
38.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5750
6.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
5801
7.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
22147
26.8 IPS |
|
|
Object Detection (F32)
|
100% |
908
67.8 IPS |
|
|
Object Detection (F16)
|
100% |
905
67.6 IPS |
|
|
Object Detection (I8)
|
65% |
3424
255.7 IPS |
|
|
Face Detection (F32)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (F16)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (I8)
|
89% |
6252
74.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2571
19.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2549
19.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
13807
107.1 IPS |
|
|
Style Transfer (F32)
|
100% |
14157
18.6 IPS |
|
|
Style Transfer (F16)
|
100% |
13928
18.3 IPS |
|
|
Style Transfer (I8)
|
98% |
27542
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2305
82.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2274
81.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3929
140.3 IPS |
|
|
Text Classification (F32)
|
100% |
1455
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1467
2.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1151
1.65 KIPS |
|
|
Machine Translation (F32)
|
100% |
2125
39.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2184
40.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3509
64.6 IPS |
