ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
403
Single Precision Score
8881
Half Precision Score
16586
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| Upload Date | September 17 2024 04:29 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| 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 | Balanced |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
129
24.1 IPS |
|
|
Image Classification (HP)
|
100% |
7860
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
10683
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
370
6.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
6949
112.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8141
132.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1118
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
68225
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
220232
258.1 IPS |
|
|
Object Detection (SP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (HP)
|
100% |
9066
719.1 IPS |
|
|
Object Detection (Q)
|
82% |
12377
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
414
4.92 IPS |
|
|
Face Detection (HP)
|
100% |
19938
236.9 IPS |
|
|
Face Detection (Q)
|
97% |
33485
399.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
337
2.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
35829
276.0 IPS |
|
|
Depth Estimation (Q)
|
71% |
71175
591.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2998
3.85 IPS |
|
|
Style Transfer (HP)
|
23% |
2629
90.5 IPS |
|
|
Style Transfer (Q)
|
98% |
169627
218.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
294
10.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21595
797.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32132
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
262
349.2 IPS |
|
|
Text Classification (HP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (Q)
|
95% |
1924
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (HP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (Q)
|
37% |
266
25.9 IPS |
