Acer Swift SFX16-61G
Geekbench AI Score
2070
Single Precision Score
971
Half Precision Score
4315
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | xiaoboge |
| Upload Date | February 17 2025 06:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840H w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Acer Swift SFX16-61G |
| Motherboard | PHX Ariya_PEH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840H w/ Radeon 780M Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1628
302.7 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.8 IPS |
|
|
Image Classification (Q)
|
99% |
4627
863.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
2270
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3199
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2822
3.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
13104
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (Q)
|
86% |
4503
361.9 IPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
1022
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
6880
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4262
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1509
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
4908
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7733
9.94 IPS |
|
|
Style Transfer (HP)
|
100% |
7180
9.23 IPS |
|
|
Style Transfer (Q)
|
98% |
18402
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2374
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
1099
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
473
631.7 IPS |
|
|
Text Classification (Q)
|
97% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.81 IPS |
|
|
Machine Translation (Q)
|
65% |
2043
41.1 IPS |
