Acer Swift SFX14-41G
Geekbench ML Score
2070
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | March 03 2025 09:18 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SFX14-41G |
| Motherboard | LN Orion_CA |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 2.10 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 | 4.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
750
140.3 IPS |
|
|
Image Classification (F16)
|
100% |
761
142.4 IPS |
|
|
Image Classification (I8)
|
100% |
675
126.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1125
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1118
18.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
981
16.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10144
12.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
10283
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
8691
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
793
59.2 IPS |
|
|
Object Detection (F16)
|
100% |
787
58.8 IPS |
|
|
Object Detection (I8)
|
64% |
755
56.4 IPS |
|
|
Face Detection (F32)
|
100% |
1732
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1721
20.5 IPS |
|
|
Face Detection (I8)
|
89% |
1463
17.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4210
32.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4191
32.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
3491
27.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16727
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
16952
22.3 IPS |
|
|
Style Transfer (I8)
|
98% |
13873
18.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3861
137.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3889
138.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2683
95.8 IPS |
|
|
Text Classification (F32)
|
100% |
793
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (I8)
|
98% |
491
705.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1269
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1262
23.2 IPS |
|
|
Machine Translation (I8)
|
69% |
740
13.6 IPS |
