Acer Swift SF14-11
Geekbench AI Score
2032
Single Precision Score
3288
Half Precision Score
6673
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | pila |
| Upload Date | April 22 2025 05:36 AM |
| Views | 2 |
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% |
718
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
3106
577.6 IPS |
|
|
Image Classification (Q)
|
99% |
6577
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2382
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5761
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
7406
8.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
21460
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
870
69.0 IPS |
|
|
Object Detection (HP)
|
99% |
2412
191.9 IPS |
|
|
Object Detection (Q)
|
86% |
6518
523.8 IPS |
|
|
Face Detection (SP)
|
100% |
1914
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
7191
85.4 IPS |
|
|
Face Detection (Q)
|
97% |
11411
136.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2477
19.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3152
24.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
11570
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13596
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10283
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34500
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2136
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3772
139.7 IPS |
|
|
Text Classification (SP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.9 IPS |
|
|
Text Classification (Q)
|
97% |
1268
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
99% |
3147
54.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3670
73.8 IPS |
