Acer Swift SFG14-01
Geekbench ML Score
1537
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | November 12 2024 04:13 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SFG14-01 |
| Motherboard | SX1 Bluetang_SX1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-45 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1025
191.7 IPS |
|
|
Image Classification (F16)
|
100% |
1021
191.1 IPS |
|
|
Image Classification (I8)
|
100% |
832
155.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1209
20.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
967
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6251
7.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
6368
7.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
5532
6.70 IPS |
|
|
Object Detection (F32)
|
100% |
648
48.4 IPS |
|
|
Object Detection (F16)
|
100% |
650
48.5 IPS |
|
|
Object Detection (I8)
|
71% |
567
42.3 IPS |
|
|
Face Detection (F32)
|
100% |
2218
26.4 IPS |
|
|
Face Detection (F16)
|
100% |
2225
26.5 IPS |
|
|
Face Detection (I8)
|
93% |
1558
18.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4051
31.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4040
31.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
3227
25.0 IPS |
|
|
Style Transfer (F32)
|
100% |
6229
8.19 IPS |
|
|
Style Transfer (F16)
|
100% |
6174
8.12 IPS |
|
|
Style Transfer (I8)
|
98% |
5706
7.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2917
104.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2923
104.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2038
72.8 IPS |
|
|
Text Classification (F32)
|
100% |
271
388.8 IPS |
|
|
Text Classification (F16)
|
100% |
262
376.1 IPS |
|
|
Text Classification (I8)
|
98% |
206
296.2 IPS |
|
|
Machine Translation (F32)
|
100% |
786
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
794
14.6 IPS |
|
|
Machine Translation (I8)
|
48% |
444
8.18 IPS |
