Acer Swift SF314-43
Geekbench AI Score
972
Single Precision Score
444
Half Precision Score
965
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MSAlalawi |
| Upload Date | April 12 2025 07:12 PM |
| Views | 7 |
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% |
763
141.8 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (Q)
|
96% |
851
158.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
576
9.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
1680
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1348
1.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
1905
2.25 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
58% |
576
62.9 IPS |
|
|
Face Detection (SP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
466
5.54 IPS |
|
|
Face Detection (Q)
|
96% |
1987
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2154
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
645
4.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
2100
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4059
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3237
4.16 IPS |
|
|
Style Transfer (Q)
|
87% |
4431
5.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
671
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
453
604.5 IPS |
|
|
Text Classification (HP)
|
100% |
212
283.6 IPS |
|
|
Text Classification (Q)
|
97% |
143
191.4 IPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
68% |
736
14.2 IPS |
