ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2183
Single Precision Score
10331
Half Precision Score
19416
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | smt331 |
| Upload Date | August 15 2024 06:22 PM |
| Views | 7 |
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 Pro (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% |
726
135.0 IPS |
|
|
Image Classification (HP)
|
100% |
9318
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
13511
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7449
120.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9118
148.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6649
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
69868
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232362
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
100% |
10273
814.9 IPS |
|
|
Object Detection (Q)
|
82% |
12661
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
1891
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
22273
264.6 IPS |
|
|
Face Detection (Q)
|
97% |
44613
532.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2652
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40166
309.5 IPS |
|
|
Depth Estimation (Q)
|
71% |
80033
665.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16894
21.7 IPS |
|
|
Style Transfer (HP)
|
23% |
2724
93.8 IPS |
|
|
Style Transfer (Q)
|
98% |
172852
222.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2369
87.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25986
959.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36108
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
1572
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1635
2.18 KIPS |
|
|
Text Classification (Q)
|
95% |
2548
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2685
46.3 IPS |
|
|
Machine Translation (Q)
|
37% |
370
36.0 IPS |
