ASUSTeK COMPUTER INC. ROG Zephyrus G14 GA402RJ_GA402RJ
Geekbench ML Score
7770
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 06 2024 02:46 PM |
| Views | 2 |
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% |
4632
866.8 IPS |
|
|
Image Classification (F16)
|
100% |
4636
867.4 IPS |
|
|
Image Classification (I8)
|
100% |
4228
791.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4687
78.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4721
78.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4257
71.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
71412
86.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
74894
90.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
62070
75.2 IPS |
|
|
Object Detection (F32)
|
100% |
1590
118.7 IPS |
|
|
Object Detection (F16)
|
100% |
1627
121.5 IPS |
|
|
Object Detection (I8)
|
62% |
1647
123.0 IPS |
|
|
Face Detection (F32)
|
100% |
13054
155.2 IPS |
|
|
Face Detection (F16)
|
100% |
13596
161.7 IPS |
|
|
Face Detection (I8)
|
88% |
10145
120.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
20214
156.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
20877
161.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
16854
130.7 IPS |
|
|
Style Transfer (F32)
|
100% |
79564
104.7 IPS |
|
|
Style Transfer (F16)
|
100% |
81876
107.7 IPS |
|
|
Style Transfer (I8)
|
98% |
73886
97.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7646
273.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7885
281.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6859
245.0 IPS |
|
|
Text Classification (F32)
|
100% |
1602
2.30 KIPS |
|
|
Text Classification (F16)
|
100% |
1483
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
1027
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
2074
38.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2312
42.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1433
26.4 IPS |
