Acer Swift SF14-11
Geekbench ML Score
2233
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 09:24 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 | Balanced |
| 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 | DirectML |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1305
244.3 IPS |
|
|
Image Classification (F16)
|
100% |
1343
251.3 IPS |
|
|
Image Classification (I8)
|
100% |
1098
205.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1562
26.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1583
26.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1368
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
9260
11.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9192
11.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
8385
10.2 IPS |
|
|
Object Detection (F32)
|
100% |
1170
87.3 IPS |
|
|
Object Detection (F16)
|
100% |
1160
86.6 IPS |
|
|
Object Detection (I8)
|
71% |
1033
77.1 IPS |
|
|
Face Detection (F32)
|
100% |
2596
30.9 IPS |
|
|
Face Detection (F16)
|
100% |
2637
31.4 IPS |
|
|
Face Detection (I8)
|
93% |
2165
25.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5393
41.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5310
41.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
4421
34.3 IPS |
|
|
Style Transfer (F32)
|
100% |
12606
16.6 IPS |
|
|
Style Transfer (F16)
|
100% |
12979
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11588
15.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4920
175.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4881
174.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3477
124.2 IPS |
|
|
Text Classification (F32)
|
100% |
304
436.2 IPS |
|
|
Text Classification (F16)
|
100% |
279
401.0 IPS |
|
|
Text Classification (I8)
|
98% |
237
339.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1042
19.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1067
19.6 IPS |
|
|
Machine Translation (I8)
|
65% |
681
12.5 IPS |
