ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X712FA_X712FA
Geekbench AI Score
853
Single Precision Score
475
Half Precision Score
1175
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | October 06 2025 07:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-8145U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X712FA_X712FA |
| Motherboard | ASUSTeK COMPUTER INC. X712FA |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-8145U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
585
108.8 IPS |
|
|
Image Classification (HP)
|
100% |
230
42.7 IPS |
|
|
Image Classification (Q)
|
96% |
854
159.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (Q)
|
97% |
975
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1057
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
818
0.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
1744
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
58% |
570
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
1363
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
529
6.28 IPS |
|
|
Face Detection (Q)
|
96% |
1693
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1325
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
630
4.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
1836
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2580
3.32 IPS |
|
|
Style Transfer (HP)
|
100% |
1914
2.46 IPS |
|
|
Style Transfer (Q)
|
87% |
3721
4.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
578
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
923
34.2 IPS |
|
|
Text Classification (SP)
|
100% |
630
841.1 IPS |
|
|
Text Classification (HP)
|
100% |
372
496.0 IPS |
|
|
Text Classification (Q)
|
97% |
613
820.7 IPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
385
6.63 IPS |
|
|
Machine Translation (Q)
|
68% |
929
17.9 IPS |
