ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WV_GA605WV
Geekbench ML Score
3584
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 07:27 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WV_GA605WV |
| Motherboard | ASUSTeK COMPUTER INC. GA605WV |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1381
258.5 IPS |
|
|
Image Classification (F16)
|
100% |
1408
263.4 IPS |
|
|
Image Classification (I8)
|
99% |
3679
688.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1401
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1420
23.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2715
45.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7559
9.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
7589
9.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
28086
34.0 IPS |
|
|
Object Detection (F32)
|
100% |
1424
106.3 IPS |
|
|
Object Detection (F16)
|
100% |
1552
115.8 IPS |
|
|
Object Detection (I8)
|
62% |
1781
133.0 IPS |
|
|
Face Detection (F32)
|
100% |
2631
31.3 IPS |
|
|
Face Detection (F16)
|
100% |
2546
30.3 IPS |
|
|
Face Detection (I8)
|
89% |
5198
61.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6271
48.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
6346
49.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
15024
116.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15961
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15415
20.3 IPS |
|
|
Style Transfer (I8)
|
98% |
26929
35.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2674
95.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2720
97.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4889
174.6 IPS |
|
|
Text Classification (F32)
|
100% |
1428
2.05 KIPS |
|
|
Text Classification (F16)
|
100% |
1254
1.80 KIPS |
|
|
Text Classification (I8)
|
98% |
1168
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2357
43.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2271
41.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3186
58.6 IPS |
