Acer Swift SF14-11
Geekbench AI Score
1972
Single Precision Score
1619
Half Precision Score
5218
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | October 02 2024 07:37 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-11 |
| Motherboard | SX1 Bluetang_SX1 |
| 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% |
729
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
99% |
3697
689.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2336
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5760
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
7952
9.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
16780
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
99% |
607
48.3 IPS |
|
|
Object Detection (Q)
|
88% |
4236
339.5 IPS |
|
|
Face Detection (SP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
6340
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2543
19.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2014
15.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
9233
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12737
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10362
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
33140
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1984
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3895
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
1587
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
448
597.3 IPS |
|
|
Text Classification (Q)
|
97% |
1254
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1816
31.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2575
57.4 IPS |
