ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5507QA_S5507QAD
Geekbench AI Score
2204
Single Precision Score
11125
Half Precision Score
21821
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 19 2024 02:22 AM |
| Views | 2 |
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 |
| 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% |
736
136.9 IPS |
|
|
Image Classification (HP)
|
100% |
10968
2.04 KIPS |
|
|
Image Classification (Q)
|
99% |
17394
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7633
123.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9343
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7001
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
69708
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
239641
280.9 IPS |
|
|
Object Detection (SP)
|
100% |
936
74.3 IPS |
|
|
Object Detection (HP)
|
100% |
10998
872.4 IPS |
|
|
Object Detection (Q)
|
82% |
15612
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
22784
270.7 IPS |
|
|
Face Detection (Q)
|
97% |
45352
540.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2713
20.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42006
323.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
83571
679.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16879
21.7 IPS |
|
|
Style Transfer (HP)
|
23% |
2761
95.1 IPS |
|
|
Style Transfer (Q)
|
98% |
179324
231.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2440
90.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29273
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42171
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
1598
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (Q)
|
95% |
3584
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2848
49.1 IPS |
|
|
Machine Translation (Q)
|
37% |
392
38.1 IPS |
