ASUSTeK COMPUTER INC. K501UX
Geekbench AI Score
507
Single Precision Score
312
Half Precision Score
431
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 27 2025 09:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 520 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. K501UX |
| Motherboard | ASUSTeK COMPUTER INC. K501UX |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6500U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (HP)
|
100% |
151
28.2 IPS |
|
|
Image Classification (Q)
|
100% |
262
48.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
225
3.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
511
0.60 IPS |
|
|
Pose Estimation (Q)
|
97% |
843
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
289
22.9 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
86% |
280
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
653
7.76 IPS |
|
|
Face Detection (HP)
|
100% |
398
4.73 IPS |
|
|
Face Detection (Q)
|
97% |
566
6.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
926
7.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
560
4.33 IPS |
|
|
Depth Estimation (Q)
|
77% |
818
6.55 IPS |
|
|
Style Transfer (SP)
|
100% |
1734
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1396
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1633
2.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
506
18.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
434
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.5 IPS |
|
|
Text Classification (HP)
|
100% |
136
181.5 IPS |
|
|
Text Classification (Q)
|
97% |
166
222.6 IPS |
|
|
Machine Translation (SP)
|
100% |
338
5.82 IPS |
|
|
Machine Translation (HP)
|
96% |
231
3.99 IPS |
|
|
Machine Translation (Q)
|
70% |
202
3.80 IPS |
