Acer Swift SFX14-41G
Geekbench ML Score
5888
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 19 2025 01:10 PM |
| Views | 7 |
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 | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2992
559.8 IPS |
|
|
Image Classification (F16)
|
100% |
3052
571.2 IPS |
|
|
Image Classification (I8)
|
100% |
2413
451.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4175
69.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3714
62.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3353
56.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23747
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
28261
34.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
22840
27.7 IPS |
|
|
Object Detection (F32)
|
100% |
2196
163.9 IPS |
|
|
Object Detection (F16)
|
100% |
2657
198.4 IPS |
|
|
Object Detection (I8)
|
61% |
2226
166.2 IPS |
|
|
Face Detection (F32)
|
100% |
7010
83.3 IPS |
|
|
Face Detection (F16)
|
100% |
7058
83.9 IPS |
|
|
Face Detection (I8)
|
89% |
5669
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16492
127.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
17012
131.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
13362
103.6 IPS |
|
|
Style Transfer (F32)
|
100% |
51657
67.9 IPS |
|
|
Style Transfer (F16)
|
100% |
53747
70.7 IPS |
|
|
Style Transfer (I8)
|
98% |
45737
60.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11990
428.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8652
309.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5303
189.4 IPS |
|
|
Text Classification (F32)
|
100% |
1206
1.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1403
2.02 KIPS |
|
|
Text Classification (I8)
|
98% |
992
1.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
2036
37.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2057
37.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1072
19.7 IPS |
