ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503QR_GA503QR
Geekbench ML Score
2548
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 24 2024 04:33 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503QR_GA503QR |
| Motherboard | ASUSTeK COMPUTER INC. GA503QR |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 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 | 40.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1108
207.3 IPS |
|
|
Image Classification (F16)
|
100% |
1080
202.2 IPS |
|
|
Image Classification (I8)
|
99% |
909
170.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1254
20.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1264
21.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1081
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
12151
14.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
12158
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
10007
12.1 IPS |
|
|
Object Detection (F32)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (F16)
|
100% |
1048
78.3 IPS |
|
|
Object Detection (I8)
|
67% |
926
69.1 IPS |
|
|
Face Detection (F32)
|
100% |
2099
25.0 IPS |
|
|
Face Detection (F16)
|
100% |
2158
25.7 IPS |
|
|
Face Detection (I8)
|
89% |
1687
20.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6395
49.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6527
50.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
4964
38.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21496
28.3 IPS |
|
|
Style Transfer (F16)
|
100% |
21672
28.5 IPS |
|
|
Style Transfer (I8)
|
98% |
16782
22.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4401
157.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4426
158.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2847
101.7 IPS |
|
|
Text Classification (F32)
|
100% |
856
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
924
1.33 KIPS |
|
|
Text Classification (I8)
|
98% |
617
887.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1463
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1477
27.2 IPS |
|
|
Machine Translation (I8)
|
69% |
768
14.1 IPS |
