ASUSTeK COMPUTER INC. ROG Strix G512LU_G512LU
Geekbench AI Score
2622
Single Precision Score
1149
Half Precision Score
3442
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 03:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G512LU_G512LU |
| Motherboard | ASUSTeK COMPUTER INC. G512LU |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1792
333.2 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
96% |
3080
575.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
1985
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4288
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3517
4.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
7457
8.82 IPS |
|
|
Object Detection (SP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
58% |
2151
235.0 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (Q)
|
96% |
5422
64.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5591
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1700
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7163
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10452
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8379
10.8 IPS |
|
|
Style Transfer (Q)
|
87% |
11657
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2283
84.6 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
674
899.3 IPS |
|
|
Text Classification (Q)
|
97% |
1135
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1751
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2033
39.3 IPS |
