ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503QR_GA503QR
Geekbench ML Score
9778
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 05 2025 03:37 PM |
| Views | 7 |
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 | NVIDIA GeForce RTX 3070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5668
1.06 KIPS |
|
|
Image Classification (F16)
|
100% |
5683
1.06 KIPS |
|
|
Image Classification (I8)
|
100% |
4114
769.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6025
100.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
6062
101.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4931
82.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
65269
79.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
66494
80.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
55155
66.8 IPS |
|
|
Object Detection (F32)
|
100% |
3373
251.8 IPS |
|
|
Object Detection (F16)
|
100% |
3329
248.5 IPS |
|
|
Object Detection (I8)
|
63% |
3035
226.6 IPS |
|
|
Face Detection (F32)
|
100% |
13669
162.5 IPS |
|
|
Face Detection (F16)
|
100% |
13404
159.4 IPS |
|
|
Face Detection (I8)
|
89% |
10581
125.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
33921
263.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
33976
263.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
24046
186.5 IPS |
|
|
Style Transfer (F32)
|
100% |
100916
132.7 IPS |
|
|
Style Transfer (F16)
|
100% |
101655
133.7 IPS |
|
|
Style Transfer (I8)
|
98% |
82802
108.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19295
689.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18813
671.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11675
417.0 IPS |
|
|
Text Classification (F32)
|
100% |
1710
2.46 KIPS |
|
|
Text Classification (F16)
|
100% |
1793
2.58 KIPS |
|
|
Text Classification (I8)
|
98% |
889
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
2086
38.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2083
38.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1145
21.1 IPS |
