Acer Swift SFX14-41G
Geekbench ML Score
1935
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 11:06 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% |
1212
226.7 IPS |
|
|
Image Classification (F16)
|
100% |
1021
191.0 IPS |
|
|
Image Classification (I8)
|
97% |
1868
349.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
839
14.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1748
29.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2520
3.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
2572
3.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
7198
8.72 IPS |
|
|
Object Detection (F32)
|
100% |
945
70.5 IPS |
|
|
Object Detection (F16)
|
100% |
1061
79.2 IPS |
|
|
Object Detection (I8)
|
60% |
1145
85.5 IPS |
|
|
Face Detection (F32)
|
100% |
1428
17.0 IPS |
|
|
Face Detection (F16)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (I8)
|
87% |
2293
27.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3534
27.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3701
28.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
6659
51.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7996
10.5 IPS |
|
|
Style Transfer (F16)
|
100% |
7967
10.5 IPS |
|
|
Style Transfer (I8)
|
85% |
9867
13.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1360
48.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1109
39.6 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1783
63.7 IPS |
|
|
Text Classification (F32)
|
100% |
1385
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1420
2.04 KIPS |
|
|
Text Classification (I8)
|
94% |
983
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
1166
21.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1087
20.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1590
29.3 IPS |
