Acer Swift SF314-43
Geekbench AI Score
962
Single Precision Score
439
Half Precision Score
957
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 07:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF314-43 |
| Motherboard | LN Sake_CA |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
771
143.4 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
96% |
917
171.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
538
8.75 IPS |
|
|
Pose Estimation (SP)
|
100% |
1635
1.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1362
1.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
1875
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
748
59.4 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
58% |
566
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
454
5.39 IPS |
|
|
Face Detection (Q)
|
96% |
1996
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2139
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
647
4.98 IPS |
|
|
Depth Estimation (Q)
|
78% |
2120
16.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4067
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3242
4.17 IPS |
|
|
Style Transfer (Q)
|
87% |
4344
5.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
608
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
687
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
465
620.7 IPS |
|
|
Text Classification (HP)
|
100% |
207
276.9 IPS |
|
|
Text Classification (Q)
|
97% |
135
180.4 IPS |
|
|
Machine Translation (SP)
|
100% |
665
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.97 IPS |
|
|
Machine Translation (Q)
|
68% |
726
14.0 IPS |
