ASUSTeK COMPUTER INC. ROG Strix G513QM_G513QM
Geekbench ML Score
2265
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 07:01 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1609
301.1 IPS |
|
|
Image Classification (F16)
|
100% |
1416
264.9 IPS |
|
|
Image Classification (I8)
|
97% |
2501
467.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1024
17.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1121
18.7 IPS |
|
|
Image Segmentation (I8)
|
97% |
1463
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
3701
4.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
3146
3.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
8802
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
1202
89.7 IPS |
|
|
Object Detection (F16)
|
100% |
1143
85.4 IPS |
|
|
Object Detection (I8)
|
60% |
1342
100.2 IPS |
|
|
Face Detection (F32)
|
100% |
1378
16.4 IPS |
|
|
Face Detection (F16)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (I8)
|
87% |
2659
31.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5420
42.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5418
42.0 IPS |
|
|
Depth Estimation (I8)
|
74% |
9325
72.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11163
14.7 IPS |
|
|
Style Transfer (F16)
|
100% |
10579
13.9 IPS |
|
|
Style Transfer (I8)
|
85% |
11023
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1786
63.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1716
61.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2427
86.7 IPS |
|
|
Text Classification (F32)
|
100% |
1081
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1448
2.08 KIPS |
|
|
Text Classification (I8)
|
94% |
336
482.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1439
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1419
26.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1734
31.9 IPS |
