Acer Swift SF314-43
Geekbench AI Score
771
Single Precision Score
349
Half Precision Score
748
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MSAlalawi |
| Upload Date | April 12 2025 07:20 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% |
605
112.5 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
96% |
724
135.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
161
2.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
420
6.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
1262
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1060
1.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
1426
1.69 IPS |
|
|
Object Detection (SP)
|
100% |
602
47.8 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
58% |
441
48.2 IPS |
|
|
Face Detection (SP)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
359
4.27 IPS |
|
|
Face Detection (Q)
|
96% |
1582
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1660
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
513
3.95 IPS |
|
|
Depth Estimation (Q)
|
78% |
1644
13.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3180
4.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2513
3.23 IPS |
|
|
Style Transfer (Q)
|
87% |
3357
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
529
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
334
446.3 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.5 IPS |
|
|
Text Classification (Q)
|
97% |
105
140.3 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.26 IPS |
|
|
Machine Translation (HP)
|
100% |
199
3.44 IPS |
|
|
Machine Translation (Q)
|
68% |
594
11.5 IPS |
