Acer Swift SF14-11
Geekbench ML Score
2317
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 03 2024 12:54 PM |
| 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% |
1404
262.7 IPS |
|
|
Image Classification (F16)
|
100% |
1483
277.5 IPS |
|
|
Image Classification (I8)
|
100% |
1152
215.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1705
28.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1720
28.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1465
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
9703
11.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
9630
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
8729
10.6 IPS |
|
|
Object Detection (F32)
|
100% |
1217
90.9 IPS |
|
|
Object Detection (F16)
|
100% |
1194
89.1 IPS |
|
|
Object Detection (I8)
|
71% |
1078
80.5 IPS |
|
|
Face Detection (F32)
|
100% |
2802
33.3 IPS |
|
|
Face Detection (F16)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (I8)
|
93% |
2258
26.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5482
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5490
42.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
4586
35.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13002
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13176
17.3 IPS |
|
|
Style Transfer (I8)
|
98% |
11876
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5003
178.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4806
171.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3585
128.0 IPS |
|
|
Text Classification (F32)
|
100% |
294
423.0 IPS |
|
|
Text Classification (F16)
|
100% |
293
421.3 IPS |
|
|
Text Classification (I8)
|
98% |
250
358.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1052
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (I8)
|
65% |
675
12.4 IPS |
