Acer Swift SF314-42
Geekbench AI Score
1525
Single Precision Score
787
Half Precision Score
1996
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | October 27 2025 09:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Swift SF314-42 |
| Motherboard | RO Kona_RN |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500U |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
892
165.8 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.8 IPS |
|
|
Image Classification (Q)
|
96% |
1337
249.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
1280
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2956
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2444
2.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
3794
4.49 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
396
31.4 IPS |
|
|
Object Detection (Q)
|
58% |
1209
132.1 IPS |
|
|
Face Detection (SP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (Q)
|
96% |
3681
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3777
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1217
9.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
3994
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6736
8.66 IPS |
|
|
Style Transfer (HP)
|
100% |
5675
7.30 IPS |
|
|
Style Transfer (Q)
|
87% |
6872
8.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1179
43.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1008
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1265
46.9 IPS |
|
|
Text Classification (SP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
406
542.4 IPS |
|
|
Text Classification (Q)
|
97% |
801
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
424
7.30 IPS |
|
|
Machine Translation (Q)
|
68% |
1249
24.1 IPS |
