Acer Swift SFG14-64
Geekbench AI Score
3515
Single Precision Score
1770
Half Precision Score
7972
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 05:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 7 350 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Acer Swift SFG14-64 |
| Motherboard | KRK Sealion_KAF |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3010
559.8 IPS |
|
|
Image Classification (HP)
|
100% |
682
126.7 IPS |
|
|
Image Classification (Q)
|
99% |
7242
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1061
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8198
133.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5440
6.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
4406
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
21436
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2747
217.9 IPS |
|
|
Object Detection (HP)
|
100% |
844
66.9 IPS |
|
|
Object Detection (Q)
|
86% |
7150
574.6 IPS |
|
|
Face Detection (SP)
|
100% |
5869
69.7 IPS |
|
|
Face Detection (HP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
8312
99.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6895
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2636
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13913
111.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12698
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10904
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29809
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2213
81.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4784
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1985
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2425
41.8 IPS |
|
|
Machine Translation (HP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3483
70.0 IPS |
