ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X409JB_X409JB
Geekbench AI Score
919
Single Precision Score
512
Half Precision Score
1833
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | EngMaan |
| Upload Date | April 09 2025 07:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X409JB_X409JB |
| Motherboard | ASUSTeK COMPUTER INC. X409JB |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
99% |
1022
190.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
439
7.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1391
1.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
6356
7.45 IPS |
|
|
Object Detection (SP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
86% |
1855
149.1 IPS |
|
|
Face Detection (SP)
|
100% |
1497
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
582
6.91 IPS |
|
|
Face Detection (Q)
|
97% |
3075
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1859
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
768
5.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
4630
36.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4115
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3030
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
7683
9.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
697
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1936
71.7 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
407
543.0 IPS |
|
|
Text Classification (Q)
|
97% |
306
409.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.64 IPS |
|
|
Machine Translation (Q)
|
65% |
1251
25.1 IPS |
