ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench ML Score
2333
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 16 2024 11:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1484
277.6 IPS |
|
|
Image Classification (F16)
|
100% |
1494
279.5 IPS |
|
|
Image Classification (I8)
|
100% |
1229
230.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1689
28.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1676
28.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1481
24.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
9276
11.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9524
11.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
8601
10.4 IPS |
|
|
Object Detection (F32)
|
100% |
1212
90.5 IPS |
|
|
Object Detection (F16)
|
100% |
1211
90.4 IPS |
|
|
Object Detection (I8)
|
71% |
1073
80.1 IPS |
|
|
Face Detection (F32)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (F16)
|
100% |
2811
33.4 IPS |
|
|
Face Detection (I8)
|
93% |
2303
27.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5496
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
5422
42.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
4513
35.0 IPS |
|
|
Style Transfer (F32)
|
100% |
13222
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12957
17.0 IPS |
|
|
Style Transfer (I8)
|
98% |
11927
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4913
175.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4883
174.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3495
124.8 IPS |
|
|
Text Classification (F32)
|
100% |
303
435.7 IPS |
|
|
Text Classification (F16)
|
100% |
297
427.3 IPS |
|
|
Text Classification (I8)
|
98% |
257
368.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1085
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1085
20.0 IPS |
|
|
Machine Translation (I8)
|
65% |
694
12.8 IPS |
