ASUSTeK COMPUTER INC. ROG Strix G513QM_G513QM
Geekbench ML Score
9922
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 07:03 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G513QM_G513QM |
| Motherboard | ASUSTeK COMPUTER INC. G513QM |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5050
945.0 IPS |
|
|
Image Classification (F16)
|
100% |
5125
959.1 IPS |
|
|
Image Classification (I8)
|
100% |
3918
733.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
6675
111.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
6678
111.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
5549
92.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
63177
76.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
64747
78.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
54249
65.7 IPS |
|
|
Object Detection (F32)
|
100% |
3856
287.8 IPS |
|
|
Object Detection (F16)
|
100% |
3580
267.3 IPS |
|
|
Object Detection (I8)
|
63% |
3284
245.2 IPS |
|
|
Face Detection (F32)
|
100% |
12774
151.9 IPS |
|
|
Face Detection (F16)
|
100% |
13194
156.9 IPS |
|
|
Face Detection (I8)
|
89% |
10045
119.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
28341
219.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
28411
220.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
20398
158.2 IPS |
|
|
Style Transfer (F32)
|
100% |
108087
142.2 IPS |
|
|
Style Transfer (F16)
|
100% |
103255
135.8 IPS |
|
|
Style Transfer (I8)
|
98% |
84221
110.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18451
658.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18161
648.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11921
425.8 IPS |
|
|
Text Classification (F32)
|
100% |
1748
2.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1875
2.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1201
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
2401
44.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2428
44.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1309
24.1 IPS |
