Acer Swift SF14-11
Geekbench ML Score
2299
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 30 2024 04:31 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 | DirectML |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1418
265.4 IPS |
|
|
Image Classification (F16)
|
100% |
1419
265.6 IPS |
|
|
Image Classification (I8)
|
100% |
1185
221.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1708
28.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1713
28.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1471
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9533
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
9668
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
8680
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1192
89.0 IPS |
|
|
Object Detection (F16)
|
100% |
1190
88.8 IPS |
|
|
Object Detection (I8)
|
71% |
1059
79.0 IPS |
|
|
Face Detection (F32)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (F16)
|
100% |
2881
34.3 IPS |
|
|
Face Detection (I8)
|
93% |
2304
27.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5253
40.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5423
42.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
4575
35.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12940
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13002
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11882
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4826
172.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4820
172.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3563
127.2 IPS |
|
|
Text Classification (F32)
|
100% |
279
401.6 IPS |
|
|
Text Classification (F16)
|
100% |
276
397.4 IPS |
|
|
Text Classification (I8)
|
98% |
235
337.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1091
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1055
19.4 IPS |
|
|
Machine Translation (I8)
|
65% |
677
12.5 IPS |
