ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2099
Single Precision Score
10263
Half Precision Score
20008
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | imholyagnostic |
| Upload Date | August 23 2024 04:24 PM |
| Views | 11 |
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 Pro (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% |
703
130.8 IPS |
|
|
Image Classification (HP)
|
100% |
9593
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
15034
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7522
121.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8612
140.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6460
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
68178
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
214410
251.3 IPS |
|
|
Object Detection (SP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (HP)
|
100% |
10743
852.2 IPS |
|
|
Object Detection (Q)
|
82% |
14290
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
21445
254.8 IPS |
|
|
Face Detection (Q)
|
97% |
41407
493.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2148
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40198
309.7 IPS |
|
|
Depth Estimation (Q)
|
71% |
79156
658.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16464
21.2 IPS |
|
|
Style Transfer (HP)
|
23% |
2720
93.6 IPS |
|
|
Style Transfer (Q)
|
98% |
180109
232.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26614
982.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39174
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (Q)
|
95% |
3013
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (Q)
|
37% |
372
36.3 IPS |
