Acer Swift SFG14-01
Geekbench ML Score
2471
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 13 2025 06:55 AM |
| Views | 9 |
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% |
618
115.6 IPS |
|
|
Image Classification (F16)
|
100% |
613
114.8 IPS |
|
|
Image Classification (I8)
|
99% |
3264
610.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
560
9.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
511
8.54 IPS |
|
|
Image Segmentation (I8)
|
98% |
2054
34.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4222
5.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
4033
4.88 IPS |
|
|
Pose Estimation (I8)
|
100% |
17270
20.9 IPS |
|
|
Object Detection (F32)
|
100% |
810
60.5 IPS |
|
|
Object Detection (F16)
|
100% |
831
62.0 IPS |
|
|
Object Detection (I8)
|
65% |
3272
244.3 IPS |
|
|
Face Detection (F32)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1716
20.4 IPS |
|
|
Face Detection (I8)
|
89% |
4847
57.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2210
17.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2252
17.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12760
99.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10804
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10915
14.4 IPS |
|
|
Style Transfer (I8)
|
98% |
28444
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2098
74.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1941
69.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3738
133.5 IPS |
|
|
Text Classification (F32)
|
100% |
1526
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1432
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
1163
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2033
37.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1749
32.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3212
59.1 IPS |
