ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2227
Single Precision Score
9777
Half Precision Score
17928
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | SDAOnliner |
| Upload Date | November 12 2024 08:04 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD |
| Motherboard | ASUSTeK COMPUTER INC. S5507QAD |
| 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% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
8253
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
11409
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7381
119.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9110
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6849
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
68252
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
227751
267.0 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
100% |
9228
732.0 IPS |
|
|
Object Detection (Q)
|
82% |
11973
969.2 IPS |
|
|
Face Detection (SP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
21902
260.2 IPS |
|
|
Face Detection (Q)
|
97% |
41641
496.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2699
20.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
39331
303.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
73567
597.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17293
22.2 IPS |
|
|
Style Transfer (HP)
|
23% |
2675
92.1 IPS |
|
|
Style Transfer (Q)
|
98% |
174387
224.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2459
90.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24462
903.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32032
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1405
1.88 KIPS |
|
|
Text Classification (Q)
|
95% |
1971
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2629
45.3 IPS |
|
|
Machine Translation (Q)
|
37% |
359
35.0 IPS |
