ASUSTeK COMPUTER INC. ROG Strix G513QM_G513QM
Geekbench ML Score
2527
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 07:05 AM |
| Views | 2 |
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 | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1188
222.4 IPS |
|
|
Image Classification (F16)
|
100% |
1182
221.2 IPS |
|
|
Image Classification (I8)
|
99% |
962
180.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1269
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1283
21.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1076
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
11298
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
11249
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9631
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
1099
82.1 IPS |
|
|
Object Detection (F16)
|
100% |
1069
79.8 IPS |
|
|
Object Detection (I8)
|
67% |
932
69.5 IPS |
|
|
Face Detection (F32)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (F16)
|
100% |
2201
26.2 IPS |
|
|
Face Detection (I8)
|
89% |
1725
20.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
6354
49.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6356
49.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
4971
38.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21063
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
21313
28.0 IPS |
|
|
Style Transfer (I8)
|
98% |
16295
21.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4080
145.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4232
151.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2848
101.7 IPS |
|
|
Text Classification (F32)
|
100% |
927
1.33 KIPS |
|
|
Text Classification (F16)
|
100% |
908
1.31 KIPS |
|
|
Text Classification (I8)
|
98% |
651
936.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1252
23.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1293
23.8 IPS |
|
|
Machine Translation (I8)
|
69% |
718
13.2 IPS |
