Acer Swift SF314-42
Geekbench AI Score
2058
Single Precision Score
2144
Half Precision Score
2701
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | October 27 2025 10:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U with Radeon Graphics |
| 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% |
1188
220.9 IPS |
|
|
Image Classification (HP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (Q)
|
100% |
1974
367.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
979
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1632
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3093
3.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
4023
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (Q)
|
87% |
1849
148.3 IPS |
|
|
Face Detection (SP)
|
100% |
2368
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
2383
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
5434
64.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3564
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3680
28.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
4827
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8564
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8585
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10834
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1701
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2448
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (Q)
|
91% |
674
905.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1808
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1840
31.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1844
31.8 IPS |
