ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA
Geekbench ML Score
1587
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 16 2024 05:51 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QA |
| Motherboard | ASUSTeK COMPUTER INC. S5507QA |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-45 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1093
204.6 IPS |
|
|
Image Classification (F16)
|
100% |
1079
201.9 IPS |
|
|
Image Classification (I8)
|
100% |
837
156.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1226
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1209
20.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
977
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6449
7.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
6490
7.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
5628
6.82 IPS |
|
|
Object Detection (F32)
|
100% |
671
50.1 IPS |
|
|
Object Detection (F16)
|
100% |
677
50.5 IPS |
|
|
Object Detection (I8)
|
71% |
602
45.0 IPS |
|
|
Face Detection (F32)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (F16)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (I8)
|
93% |
1578
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4084
31.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4172
32.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
3289
25.5 IPS |
|
|
Style Transfer (F32)
|
100% |
6382
8.40 IPS |
|
|
Style Transfer (F16)
|
100% |
6353
8.36 IPS |
|
|
Style Transfer (I8)
|
98% |
5745
7.56 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3004
107.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3023
108.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2096
74.9 IPS |
|
|
Text Classification (F32)
|
100% |
289
415.9 IPS |
|
|
Text Classification (F16)
|
100% |
288
413.2 IPS |
|
|
Text Classification (I8)
|
98% |
219
315.4 IPS |
|
|
Machine Translation (F32)
|
100% |
818
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
815
15.0 IPS |
|
|
Machine Translation (I8)
|
48% |
468
8.61 IPS |
