ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402RJ_GA402RJ
Geekbench ML Score
7909
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 10:59 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402RJ_GA402RJ |
| Motherboard | ASUSTeK COMPUTER INC. GA402RJ |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 6900HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| 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 RX 6700S |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5178
969.0 IPS |
|
|
Image Classification (F16)
|
100% |
5063
947.5 IPS |
|
|
Image Classification (I8)
|
100% |
4201
786.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4763
79.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4860
81.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4214
70.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
73718
89.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
70620
85.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
54902
66.5 IPS |
|
|
Object Detection (F32)
|
100% |
1661
124.0 IPS |
|
|
Object Detection (F16)
|
100% |
2182
162.9 IPS |
|
|
Object Detection (I8)
|
62% |
1899
141.7 IPS |
|
|
Face Detection (F32)
|
100% |
14282
169.8 IPS |
|
|
Face Detection (F16)
|
100% |
12758
151.7 IPS |
|
|
Face Detection (I8)
|
88% |
10213
121.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
21393
165.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
19587
151.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
16473
127.7 IPS |
|
|
Style Transfer (F32)
|
100% |
78088
102.7 IPS |
|
|
Style Transfer (F16)
|
100% |
82485
108.5 IPS |
|
|
Style Transfer (I8)
|
98% |
73413
96.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7638
272.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8118
289.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6674
238.3 IPS |
|
|
Text Classification (F32)
|
100% |
1623
2.33 KIPS |
|
|
Text Classification (F16)
|
100% |
1625
2.34 KIPS |
|
|
Text Classification (I8)
|
98% |
1005
1.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
2062
37.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2074
38.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1463
26.9 IPS |
