ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LH_FX506LH
Geekbench AI Score
1311
Single Precision Score
716
Half Precision Score
1832
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Saad_Za |
| Upload Date | March 28 2026 02:08 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506LH_FX506LH |
| Motherboard | ASUSTeK COMPUTER INC. FX506LH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
925
172.0 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.5 IPS |
|
|
Image Classification (Q)
|
96% |
1618
302.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
1334
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2055
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1592
1.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
3761
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
859
68.1 IPS |
|
|
Object Detection (HP)
|
100% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
58% |
1061
115.9 IPS |
|
|
Face Detection (SP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (Q)
|
96% |
3036
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2398
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
3893
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4836
6.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3551
4.57 IPS |
|
|
Style Transfer (Q)
|
87% |
6220
8.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
805
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1788
66.3 IPS |
|
|
Text Classification (SP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
498
665.2 IPS |
|
|
Text Classification (Q)
|
97% |
324
434.4 IPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.73 IPS |
|
|
Machine Translation (Q)
|
68% |
1166
22.5 IPS |
