ASUSTeK COMPUTER INC. X456UQK
Geekbench AI Score
1095
Single Precision Score
1229
Half Precision Score
825
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Hakim_Yusa |
| Upload Date | October 11 2025 08:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce 940MX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. X456UQK |
| Motherboard | ASUSTeK COMPUTER INC. X456UQK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (Q)
|
99% |
383
71.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
414
6.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
4196
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4066
4.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
3482
4.08 IPS |
|
|
Object Detection (SP)
|
100% |
518
41.1 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
83% |
457
36.9 IPS |
|
|
Face Detection (SP)
|
100% |
788
9.37 IPS |
|
|
Face Detection (HP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
684
8.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
2021
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2258
17.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1616
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6849
8.80 IPS |
|
|
Style Transfer (HP)
|
100% |
7014
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
5439
7.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1718
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1905
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1142
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
448
598.4 IPS |
|
|
Text Classification (HP)
|
100% |
477
636.6 IPS |
|
|
Text Classification (Q)
|
97% |
273
365.6 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
96% |
728
12.6 IPS |
|
|
Machine Translation (Q)
|
70% |
309
5.80 IPS |
