Acer Swift SFX14-41G
Geekbench ML Score
2022
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 19 2025 01:07 PM |
| Views | 6 |
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% |
1524
285.1 IPS |
|
|
Image Classification (F16)
|
100% |
896
167.7 IPS |
|
|
Image Classification (I8)
|
97% |
1783
333.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
833
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1122
18.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1734
29.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3976
4.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
3999
4.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
8400
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
1432
106.9 IPS |
|
|
Object Detection (F16)
|
100% |
1438
107.3 IPS |
|
|
Object Detection (I8)
|
60% |
1206
90.1 IPS |
|
|
Face Detection (F32)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (F16)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (I8)
|
87% |
2418
28.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3060
23.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
3822
29.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
6624
51.4 IPS |
|
|
Style Transfer (F32)
|
100% |
6815
8.96 IPS |
|
|
Style Transfer (F16)
|
100% |
6688
8.80 IPS |
|
|
Style Transfer (I8)
|
85% |
10540
13.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1315
47.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1305
46.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2048
73.1 IPS |
|
|
Text Classification (F32)
|
100% |
1024
1.47 KIPS |
|
|
Text Classification (F16)
|
100% |
950
1.37 KIPS |
|
|
Text Classification (I8)
|
94% |
772
1.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1200
22.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1700
31.3 IPS |
