ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench ML Score
6948
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2025 08:00 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% |
3228
604.0 IPS |
|
|
Image Classification (F16)
|
100% |
2632
492.5 IPS |
|
|
Image Classification (I8)
|
100% |
1870
349.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4600
76.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
4465
74.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3670
61.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
46003
55.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
50583
61.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
35761
43.3 IPS |
|
|
Object Detection (F32)
|
100% |
1680
125.4 IPS |
|
|
Object Detection (F16)
|
100% |
1783
133.1 IPS |
|
|
Object Detection (I8)
|
62% |
1572
117.3 IPS |
|
|
Face Detection (F32)
|
100% |
6124
72.8 IPS |
|
|
Face Detection (F16)
|
100% |
6291
74.8 IPS |
|
|
Face Detection (I8)
|
89% |
4777
56.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
17630
136.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
16824
130.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
14110
109.4 IPS |
|
|
Style Transfer (F32)
|
100% |
77698
102.2 IPS |
|
|
Style Transfer (F16)
|
100% |
83687
110.1 IPS |
|
|
Style Transfer (I8)
|
98% |
53899
70.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11980
427.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10638
379.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8321
297.2 IPS |
|
|
Text Classification (F32)
|
100% |
2507
3.60 KIPS |
|
|
Text Classification (F16)
|
100% |
2498
3.59 KIPS |
|
|
Text Classification (I8)
|
98% |
1820
2.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
2603
47.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2514
46.3 IPS |
|
|
Machine Translation (I8)
|
70% |
1806
33.2 IPS |
