ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503QR_GA503QR
Geekbench ML Score
2223
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 05 2025 03:35 PM |
| Views | 4 |
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 | Performance |
| 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% |
1137
212.7 IPS |
|
|
Image Classification (F16)
|
100% |
1149
215.0 IPS |
|
|
Image Classification (I8)
|
99% |
967
180.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
888
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
747
12.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
11277
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
11198
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
7929
9.60 IPS |
|
|
Object Detection (F32)
|
100% |
871
65.0 IPS |
|
|
Object Detection (F16)
|
100% |
878
65.6 IPS |
|
|
Object Detection (I8)
|
67% |
748
55.8 IPS |
|
|
Face Detection (F32)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (F16)
|
100% |
1436
17.1 IPS |
|
|
Face Detection (I8)
|
89% |
1109
13.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5132
39.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5008
38.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
3784
29.3 IPS |
|
|
Style Transfer (F32)
|
100% |
19692
25.9 IPS |
|
|
Style Transfer (F16)
|
100% |
19621
25.8 IPS |
|
|
Style Transfer (I8)
|
98% |
12895
17.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4375
156.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4427
158.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3040
108.6 IPS |
|
|
Text Classification (F32)
|
100% |
981
1.41 KIPS |
|
|
Text Classification (F16)
|
100% |
982
1.41 KIPS |
|
|
Text Classification (I8)
|
98% |
668
960.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1381
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1366
25.1 IPS |
|
|
Machine Translation (I8)
|
69% |
766
14.1 IPS |
