ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HE_FX506HE
Geekbench AI Score
2844
Single Precision Score
1232
Half Precision Score
4958
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 09:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HE_FX506HE |
| Motherboard | ASUSTeK COMPUTER INC. FX506HE |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2161
401.8 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.9 IPS |
|
|
Image Classification (Q)
|
99% |
5400
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2156
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3432
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3068
3.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
15643
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
4903
394.0 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
7874
93.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6175
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1742
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13478
107.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10848
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8203
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19330
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1705
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
506
677.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1852
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2644
53.1 IPS |
