Acer Swift SF14-11
Geekbench AI Score
1966
Single Precision Score
1599
Half Precision Score
5192
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 10:52 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 | Balanced |
| 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% |
722
134.2 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.7 IPS |
|
|
Image Classification (Q)
|
99% |
4031
751.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
834
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2760
44.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2349
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5865
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
7969
9.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
19661
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (HP)
|
99% |
609
48.5 IPS |
|
|
Object Detection (Q)
|
88% |
3938
315.6 IPS |
|
|
Face Detection (SP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
836
9.94 IPS |
|
|
Face Detection (Q)
|
97% |
6281
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2405
18.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2183
16.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
8589
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12214
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9867
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31377
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1141
42.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3562
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
428
571.2 IPS |
|
|
Text Classification (Q)
|
97% |
1230
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2020
34.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1686
29.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2619
58.4 IPS |
