ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HC_FX506HC
Geekbench AI Score
1902
Single Precision Score
956
Half Precision Score
4494
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Dan_foxy |
| Upload Date | January 13 2026 09:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| System Information | |
|---|---|
| Operating System | Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HC_FX506HC |
| Motherboard | ASUSTeK COMPUTER INC. FX506HC |
| Power Plan | Silent |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1490
277.1 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
99% |
4009
747.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
4335
70.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2761
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2109
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
10591
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1298
102.9 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
86% |
3446
276.9 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
970
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5523
65.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3539
27.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1333
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
8851
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6669
8.57 IPS |
|
|
Style Transfer (HP)
|
100% |
5793
7.45 IPS |
|
|
Style Transfer (Q)
|
98% |
12374
16.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1140
42.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3973
147.1 IPS |
|
|
Text Classification (SP)
|
100% |
1206
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
652
870.6 IPS |
|
|
Text Classification (Q)
|
97% |
1092
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (Q)
|
65% |
2023
40.7 IPS |
