Acer Swift 14 AI Acer Swift SF14-11
Geekbench AI Score
1906
Single Precision Score
3059
Half Precision Score
6261
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | pila |
| Upload Date | April 06 2025 07:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-11 |
| Motherboard | SX1 Bluetang_SX1 |
| Power Plan | Zrwnowaony |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
672
125.0 IPS |
|
|
Image Classification (HP)
|
100% |
2341
435.3 IPS |
|
|
Image Classification (Q)
|
99% |
5658
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2299
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5302
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
7909
9.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
18662
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
810
64.3 IPS |
|
|
Object Detection (HP)
|
99% |
2241
178.2 IPS |
|
|
Object Detection (Q)
|
86% |
5964
479.4 IPS |
|
|
Face Detection (SP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
6998
83.2 IPS |
|
|
Face Detection (Q)
|
97% |
11379
135.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2410
18.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3659
28.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
11108
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12869
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11454
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31689
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2033
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3704
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
681
908.4 IPS |
|
|
Text Classification (Q)
|
97% |
1265
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (HP)
|
99% |
3118
53.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3411
68.5 IPS |
