Acer Swift SFG14-01
Geekbench AI Score
1918
Single Precision Score
15537
Half Precision Score
26899
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 26 2024 10:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Acer Swift SFG14-01 |
| Motherboard | SX1 Bluetang_SX1 |
| Power Plan | Utilisation normale |
| 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% |
678
126.1 IPS |
|
|
Image Classification (HP)
|
100% |
10535
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
16450
3.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
807
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7599
123.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9532
155.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4645
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
70103
81.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
241513
283.1 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (HP)
|
100% |
10718
850.2 IPS |
|
|
Object Detection (Q)
|
92% |
12593
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
1862
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
22603
268.6 IPS |
|
|
Face Detection (Q)
|
97% |
45914
547.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2333
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42520
327.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
105000
842.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11421
14.7 IPS |
|
|
Style Transfer (HP)
|
98% |
57536
74.2 IPS |
|
|
Style Transfer (Q)
|
98% |
213418
275.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30332
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43006
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
1592
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (Q)
|
95% |
3696
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (Q)
|
67% |
2543
49.5 IPS |
