Acer Swift SF314-43
Geekbench AI Score
944
Single Precision Score
441
Half Precision Score
980
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 10 2025 04:31 PM |
| Views | 5 |
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% |
806
150.0 IPS |
|
|
Image Classification (HP)
|
100% |
184
34.3 IPS |
|
|
Image Classification (Q)
|
96% |
934
174.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
525
8.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
1656
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1366
1.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
2089
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (Q)
|
58% |
618
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
1615
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (Q)
|
96% |
2036
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2095
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
641
4.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
2172
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4051
5.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3257
4.19 IPS |
|
|
Style Transfer (Q)
|
87% |
4379
5.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
692
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
591
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
694
25.7 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.1 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.3 IPS |
|
|
Text Classification (Q)
|
97% |
138
184.5 IPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (Q)
|
68% |
702
13.6 IPS |
