ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LI_FX566LI
Geekbench AI Score
2079
Single Precision Score
918
Half Precision Score
3010
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 11:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10870H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LI_FX566LI |
| Motherboard | ASUSTeK COMPUTER INC. FX506LI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10870H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.1 IPS |
|
|
Image Classification (Q)
|
96% |
3403
635.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
2011
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3805
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2738
3.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
7764
9.18 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.0 IPS |
|
|
Object Detection (Q)
|
58% |
2132
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
2162
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
797
9.47 IPS |
|
|
Face Detection (Q)
|
96% |
4444
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3682
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1200
9.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
5709
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7540
9.69 IPS |
|
|
Style Transfer (HP)
|
100% |
6538
8.40 IPS |
|
|
Style Transfer (Q)
|
87% |
7914
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1306
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1937
71.8 IPS |
|
|
Text Classification (SP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
529
706.1 IPS |
|
|
Text Classification (Q)
|
97% |
960
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
68% |
1447
28.0 IPS |
