Acer Swift SFX14-41G
Geekbench ML Score
1260
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 10:59 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SFX14-41G |
| Motherboard | CZ Orion_CA |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
644
120.5 IPS |
|
|
Image Classification (F16)
|
100% |
683
127.8 IPS |
|
|
Image Classification (I8)
|
97% |
1175
219.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
659
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
637
10.6 IPS |
|
|
Image Segmentation (I8)
|
97% |
958
16.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2072
2.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
2025
2.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
4094
4.96 IPS |
|
|
Object Detection (F32)
|
100% |
649
48.5 IPS |
|
|
Object Detection (F16)
|
100% |
604
45.1 IPS |
|
|
Object Detection (I8)
|
60% |
651
48.6 IPS |
|
|
Face Detection (F32)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (F16)
|
100% |
1113
13.2 IPS |
|
|
Face Detection (I8)
|
87% |
1679
20.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2251
17.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2536
19.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
4007
31.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4901
6.45 IPS |
|
|
Style Transfer (F16)
|
100% |
5154
6.78 IPS |
|
|
Style Transfer (I8)
|
85% |
6946
9.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
875
31.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1017
36.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1197
42.7 IPS |
|
|
Text Classification (F32)
|
100% |
537
771.3 IPS |
|
|
Text Classification (F16)
|
100% |
711
1.02 KIPS |
|
|
Text Classification (I8)
|
94% |
487
699.3 IPS |
|
|
Machine Translation (F32)
|
100% |
811
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
778
14.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1050
19.3 IPS |
