ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2146
Single Precision Score
1696
Half Precision Score
5527
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 12:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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 |
| 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% |
734
136.6 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
99% |
3982
742.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2400
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6871
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
8908
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25948
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.5 IPS |
|
|
Object Detection (HP)
|
99% |
663
52.7 IPS |
|
|
Object Detection (Q)
|
88% |
4337
347.7 IPS |
|
|
Face Detection (SP)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
6468
77.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2680
20.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2346
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
9167
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16263
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9666
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30242
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1225
45.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4070
150.7 IPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
446
595.2 IPS |
|
|
Text Classification (Q)
|
97% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1715
29.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1818
31.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2759
61.5 IPS |
