ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HE_FX506HE
Geekbench AI Score
10536
Single Precision Score
19714
Half Precision Score
7337
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 30 2025 09:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| 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% |
4493
835.6 IPS |
|
|
Image Classification (HP)
|
99% |
8096
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
3631
677.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6757
109.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11392
184.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5475
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
45330
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153219
178.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
37551
44.0 IPS |
|
|
Object Detection (SP)
|
100% |
5367
425.7 IPS |
|
|
Object Detection (HP)
|
100% |
10518
834.3 IPS |
|
|
Object Detection (Q)
|
84% |
4313
347.9 IPS |
|
|
Face Detection (SP)
|
100% |
11593
137.7 IPS |
|
|
Face Detection (HP)
|
100% |
20472
243.3 IPS |
|
|
Face Detection (Q)
|
97% |
9366
111.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
24290
187.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
53564
413.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
17606
141.2 IPS |
|
|
Style Transfer (SP)
|
100% |
77399
99.5 IPS |
|
|
Style Transfer (HP)
|
100% |
208919
268.6 IPS |
|
|
Style Transfer (Q)
|
98% |
61713
79.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15678
578.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28347
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9524
352.6 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2832
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1121
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1293
24.2 IPS |
