ASUSTeK COMPUTER INC. ROG Strix G513IC_G513IC
Geekbench AI Score
8732
Single Precision Score
15012
Half Precision Score
6334
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | battusujith |
| Upload Date | April 19 2025 06:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G513IC_G513IC |
| Motherboard | ASUSTeK COMPUTER INC. G513IC |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3607
670.8 IPS |
|
|
Image Classification (HP)
|
99% |
6047
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
3053
569.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5381
87.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7972
129.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4554
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
39190
45.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
111390
130.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33160
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
4282
339.6 IPS |
|
|
Object Detection (HP)
|
100% |
7745
614.3 IPS |
|
|
Object Detection (Q)
|
84% |
3575
288.4 IPS |
|
|
Face Detection (SP)
|
100% |
9472
112.6 IPS |
|
|
Face Detection (HP)
|
100% |
14954
177.7 IPS |
|
|
Face Detection (Q)
|
97% |
7926
94.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21117
162.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45008
346.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
15769
126.3 IPS |
|
|
Style Transfer (SP)
|
100% |
65422
84.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169027
217.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54536
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12532
462.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20811
768.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8126
300.9 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2582
3.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1084
20.3 IPS |
