Acer Swift SFE16-43
Geekbench AI Score
3044
Single Precision Score
1434
Half Precision Score
6836
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 11:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFE16-43 |
| Motherboard | PHX Ray_PEU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2834
527.1 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.8 IPS |
|
|
Image Classification (Q)
|
99% |
7070
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8318
135.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4744
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
4052
4.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
19225
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
86% |
6543
525.8 IPS |
|
|
Face Detection (SP)
|
100% |
4138
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
9029
107.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2072
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
6569
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11666
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9238
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19256
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1978
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5845
216.4 IPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1673
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2698
54.2 IPS |
