ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench ML Score
12326
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2025 07:53 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 | NVIDIA GeForce RTX 4070 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7630
1.43 KIPS |
|
|
Image Classification (F16)
|
100% |
7572
1.42 KIPS |
|
|
Image Classification (I8)
|
100% |
5998
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9705
162.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
9861
164.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8719
145.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
80414
97.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
78687
95.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
69940
84.7 IPS |
|
|
Object Detection (F32)
|
100% |
4575
341.5 IPS |
|
|
Object Detection (F16)
|
100% |
3895
290.8 IPS |
|
|
Object Detection (I8)
|
63% |
3395
253.5 IPS |
|
|
Face Detection (F32)
|
100% |
16847
200.3 IPS |
|
|
Face Detection (F16)
|
100% |
17296
205.7 IPS |
|
|
Face Detection (I8)
|
89% |
13537
161.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
25795
200.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
25155
195.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
24600
190.8 IPS |
|
|
Style Transfer (F32)
|
100% |
114877
151.1 IPS |
|
|
Style Transfer (F16)
|
100% |
117534
154.6 IPS |
|
|
Style Transfer (I8)
|
98% |
101198
133.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23090
824.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23174
827.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13484
481.6 IPS |
|
|
Text Classification (F32)
|
100% |
1995
2.87 KIPS |
|
|
Text Classification (F16)
|
100% |
2013
2.89 KIPS |
|
|
Text Classification (I8)
|
98% |
1256
1.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
3463
63.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3401
62.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1859
34.2 IPS |
