Acer Swift SF314-43
Geekbench AI Score
1703
Single Precision Score
837
Half Precision Score
2147
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | July 04 2025 08:26 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500U |
| 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 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
96% |
1855
346.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
1323
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3074
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2481
2.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
3932
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
1288
102.1 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.8 IPS |
|
|
Object Detection (Q)
|
58% |
1264
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
817
9.71 IPS |
|
|
Face Detection (Q)
|
96% |
3895
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3913
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1263
9.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
4075
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6970
8.96 IPS |
|
|
Style Transfer (HP)
|
100% |
5677
7.30 IPS |
|
|
Style Transfer (Q)
|
87% |
7177
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1242
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1345
49.8 IPS |
|
|
Text Classification (SP)
|
100% |
840
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
430
573.4 IPS |
|
|
Text Classification (Q)
|
97% |
836
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.75 IPS |
|
|
Machine Translation (Q)
|
68% |
1334
25.8 IPS |
