ASUSTeK COMPUTER INC. ROG Zephyrus G15 GA503QR_GA503QR
Geekbench ML Score
9672
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 24 2024 04:32 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 | NVIDIA GeForce RTX 3070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5064
947.7 IPS |
|
|
Image Classification (F16)
|
100% |
5158
965.3 IPS |
|
|
Image Classification (I8)
|
100% |
3859
722.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
6418
107.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
6487
108.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
5215
87.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
66046
80.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
72248
87.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
53991
65.4 IPS |
|
|
Object Detection (F32)
|
100% |
3837
286.5 IPS |
|
|
Object Detection (F16)
|
100% |
3468
258.9 IPS |
|
|
Object Detection (I8)
|
63% |
2836
211.7 IPS |
|
|
Face Detection (F32)
|
100% |
13760
163.6 IPS |
|
|
Face Detection (F16)
|
100% |
13797
164.0 IPS |
|
|
Face Detection (I8)
|
89% |
10839
128.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
33470
259.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
26923
208.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
21100
163.6 IPS |
|
|
Style Transfer (F32)
|
100% |
131705
173.2 IPS |
|
|
Style Transfer (F16)
|
100% |
100439
132.1 IPS |
|
|
Style Transfer (I8)
|
98% |
78535
103.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18161
648.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18975
677.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
10194
364.1 IPS |
|
|
Text Classification (F32)
|
100% |
1636
2.35 KIPS |
|
|
Text Classification (F16)
|
100% |
1705
2.45 KIPS |
|
|
Text Classification (I8)
|
98% |
806
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2171
40.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2161
39.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1148
21.1 IPS |
