Acer Swift SF14-11
Geekbench ML Score
2298
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 30 2024 04:18 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% |
1419
265.6 IPS |
|
|
Image Classification (F16)
|
100% |
1445
270.4 IPS |
|
|
Image Classification (I8)
|
100% |
1128
211.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1693
28.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1667
27.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1475
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9223
11.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9411
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
8642
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1205
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
1208
90.2 IPS |
|
|
Object Detection (I8)
|
71% |
1073
80.1 IPS |
|
|
Face Detection (F32)
|
100% |
2805
33.4 IPS |
|
|
Face Detection (F16)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (I8)
|
93% |
2258
26.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5431
42.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5504
42.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
4550
35.3 IPS |
|
|
Style Transfer (F32)
|
100% |
13009
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13233
17.4 IPS |
|
|
Style Transfer (I8)
|
98% |
11817
15.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4884
174.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4961
177.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3585
128.0 IPS |
|
|
Text Classification (F32)
|
100% |
282
406.0 IPS |
|
|
Text Classification (F16)
|
100% |
276
397.0 IPS |
|
|
Text Classification (I8)
|
98% |
238
342.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1063
19.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (I8)
|
65% |
684
12.6 IPS |
