Acer Swift SFG14-01
Geekbench ML Score
2592
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | November 12 2024 03:56 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Swift SFG14-01 |
| Motherboard | SX1 Bluetang_SX1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
666
124.6 IPS |
|
|
Image Classification (F16)
|
100% |
644
120.6 IPS |
|
|
Image Classification (I8)
|
99% |
3685
689.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
768
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
763
12.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2109
35.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4457
5.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
4184
5.07 IPS |
|
|
Pose Estimation (I8)
|
100% |
17324
21.0 IPS |
|
|
Object Detection (F32)
|
100% |
826
61.7 IPS |
|
|
Object Detection (F16)
|
100% |
826
61.6 IPS |
|
|
Object Detection (I8)
|
65% |
3219
240.4 IPS |
|
|
Face Detection (F32)
|
100% |
1726
20.5 IPS |
|
|
Face Detection (F16)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (I8)
|
89% |
5771
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2275
17.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2245
17.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
13259
102.8 IPS |
|
|
Style Transfer (F32)
|
100% |
10475
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
9760
12.8 IPS |
|
|
Style Transfer (I8)
|
98% |
28287
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1933
69.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2083
74.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3768
134.6 IPS |
|
|
Text Classification (F32)
|
100% |
1489
2.14 KIPS |
|
|
Text Classification (F16)
|
100% |
1482
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
1128
1.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
2062
37.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2048
37.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3370
62.0 IPS |
