Acer Swift SF14-11
Geekbench ML Score
2729
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 13 2024 09:18 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-11 |
| Motherboard | SX1 Bluetang_SX1 |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 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% |
710
132.9 IPS |
|
|
Image Classification (F16)
|
100% |
711
133.0 IPS |
|
|
Image Classification (I8)
|
99% |
3726
697.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
790
13.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
760
12.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2281
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5598
6.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
5586
6.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
21926
26.6 IPS |
|
|
Object Detection (F32)
|
100% |
840
62.7 IPS |
|
|
Object Detection (F16)
|
100% |
897
66.9 IPS |
|
|
Object Detection (I8)
|
65% |
3310
247.1 IPS |
|
|
Face Detection (F32)
|
100% |
1807
21.5 IPS |
|
|
Face Detection (F16)
|
100% |
1895
22.5 IPS |
|
|
Face Detection (I8)
|
89% |
6269
74.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2500
19.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
2502
19.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
14287
110.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13244
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13287
17.5 IPS |
|
|
Style Transfer (I8)
|
98% |
34074
44.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2225
79.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2282
81.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3613
129.0 IPS |
|
|
Text Classification (F32)
|
100% |
1413
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
1393
2.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1175
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
1237
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1339
24.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3405
62.7 IPS |
