Acer Swift SF14-11T
Geekbench AI Score
2128
Single Precision Score
1704
Half Precision Score
5446
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 19 2024 08:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-11T |
| Motherboard | SX1 Bluetang_SX1 |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.1 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
3928
732.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2391
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6675
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
9146
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
23411
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (HP)
|
99% |
623
49.6 IPS |
|
|
Object Detection (Q)
|
88% |
4174
334.6 IPS |
|
|
Face Detection (SP)
|
100% |
1851
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
885
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
6336
75.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2596
20.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2462
19.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
9305
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14787
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10660
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34832
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1217
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3805
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
442
590.3 IPS |
|
|
Text Classification (Q)
|
97% |
1198
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1803
31.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2672
59.6 IPS |
