ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench ML Score
6916
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2025 08:02 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI |
| Motherboard | ASUSTeK COMPUTER INC. GA605WI |
| Power Plan | Balanced |
| 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 | 5.33 MB x 3 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3097
579.6 IPS |
|
|
Image Classification (F16)
|
100% |
2939
550.0 IPS |
|
|
Image Classification (I8)
|
100% |
1815
339.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4569
76.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4563
76.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3674
61.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
46312
56.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
46921
56.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
34289
41.5 IPS |
|
|
Object Detection (F32)
|
100% |
1768
132.0 IPS |
|
|
Object Detection (F16)
|
100% |
1569
117.2 IPS |
|
|
Object Detection (I8)
|
62% |
1699
126.9 IPS |
|
|
Face Detection (F32)
|
100% |
6283
74.7 IPS |
|
|
Face Detection (F16)
|
100% |
6221
74.0 IPS |
|
|
Face Detection (I8)
|
89% |
4856
57.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16810
130.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
17131
132.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
13838
107.3 IPS |
|
|
Style Transfer (F32)
|
100% |
72760
95.7 IPS |
|
|
Style Transfer (F16)
|
100% |
91417
120.3 IPS |
|
|
Style Transfer (I8)
|
98% |
54630
71.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11602
414.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11142
397.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8264
295.1 IPS |
|
|
Text Classification (F32)
|
100% |
2491
3.58 KIPS |
|
|
Text Classification (F16)
|
100% |
2552
3.67 KIPS |
|
|
Text Classification (I8)
|
98% |
1831
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
2588
47.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2534
46.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1580
29.1 IPS |
