Acer Swift SF14-11
Geekbench ML Score
2322
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 13 2024 09:20 AM |
| 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% |
1463
273.8 IPS |
|
|
Image Classification (F16)
|
100% |
1408
263.4 IPS |
|
|
Image Classification (I8)
|
100% |
1170
219.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1682
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1711
28.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1488
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
9159
11.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
9722
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
8654
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1222
91.2 IPS |
|
|
Object Detection (F16)
|
100% |
1213
90.5 IPS |
|
|
Object Detection (I8)
|
71% |
1093
81.6 IPS |
|
|
Face Detection (F32)
|
100% |
2871
34.1 IPS |
|
|
Face Detection (F16)
|
100% |
2908
34.6 IPS |
|
|
Face Detection (I8)
|
93% |
2348
27.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5451
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5508
42.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
4598
35.7 IPS |
|
|
Style Transfer (F32)
|
100% |
13228
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13059
17.2 IPS |
|
|
Style Transfer (I8)
|
98% |
11840
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4993
178.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5000
178.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3533
126.2 IPS |
|
|
Text Classification (F32)
|
100% |
284
408.1 IPS |
|
|
Text Classification (F16)
|
100% |
292
420.1 IPS |
|
|
Text Classification (I8)
|
98% |
244
350.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1063
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (I8)
|
65% |
680
12.5 IPS |
