ASUSTeK COMPUTER INC. X540UA
Geekbench AI Score
427
Single Precision Score
248
Half Precision Score
354
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Da_lioX |
| Upload Date | September 02 2025 01:42 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 520 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. X540UA |
| Motherboard | ASUSTeK COMPUTER INC. X540UA |
| Power Plan | Paskirstytas |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6006U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (HP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (Q)
|
100% |
206
38.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
268
4.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
782
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
418
0.49 IPS |
|
|
Pose Estimation (Q)
|
97% |
741
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.4 IPS |
|
|
Object Detection (Q)
|
86% |
223
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.31 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
97% |
446
5.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
778
5.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
433
3.35 IPS |
|
|
Depth Estimation (Q)
|
77% |
675
5.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1533
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
974
1.25 IPS |
|
|
Style Transfer (Q)
|
98% |
1423
1.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
433
16.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
239
8.82 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
364
13.5 IPS |
|
|
Text Classification (SP)
|
100% |
189
252.4 IPS |
|
|
Text Classification (HP)
|
100% |
137
182.4 IPS |
|
|
Text Classification (Q)
|
97% |
131
176.0 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (HP)
|
96% |
210
3.63 IPS |
|
|
Machine Translation (Q)
|
70% |
168
3.15 IPS |
