ASUSTeK COMPUTER INC. ROG Strix G512LI_GL542LI
Geekbench AI Score
2336
Single Precision Score
2326
Half Precision Score
3480
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 12:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10300H CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G512LI_GL542LI |
| Motherboard | ASUSTeK COMPUTER INC. G512LI |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1471
273.5 IPS |
|
|
Image Classification (HP)
|
100% |
1471
273.6 IPS |
|
|
Image Classification (Q)
|
100% |
1860
345.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2629
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2728
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2674
3.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
5535
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (Q)
|
87% |
2419
194.0 IPS |
|
|
Face Detection (SP)
|
100% |
2719
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
6277
74.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3621
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3654
28.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
6309
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8291
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8174
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15945
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1754
64.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1728
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3354
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
1798
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (Q)
|
91% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2476
42.7 IPS |
