Acer Swift SFG14-01
Geekbench AI Score
485
Single Precision Score
849
Half Precision Score
1726
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | April 22 2025 12:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
182
33.9 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.5 IPS |
|
|
Image Classification (Q)
|
99% |
1025
191.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
638
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1128
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1746
2.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
3467
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
99% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
86% |
1128
90.6 IPS |
|
|
Face Detection (SP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (HP)
|
100% |
1382
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
2704
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
543
4.18 IPS |
|
|
Depth Estimation (HP)
|
98% |
3252
25.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
10671
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2711
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
3350
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
7564
9.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
919
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.8 IPS |
|
|
Text Classification (HP)
|
100% |
223
297.3 IPS |
|
|
Text Classification (Q)
|
97% |
489
655.5 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (HP)
|
99% |
807
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
940
18.9 IPS |
