ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench ML Score
12677
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2025 07:36 AM |
| Views | 7 |
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% |
7465
1.40 KIPS |
|
|
Image Classification (F16)
|
100% |
7987
1.49 KIPS |
|
|
Image Classification (I8)
|
100% |
6213
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9783
163.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
9991
166.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
9059
151.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
80179
97.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
78065
94.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
69544
84.2 IPS |
|
|
Object Detection (F32)
|
100% |
4387
327.5 IPS |
|
|
Object Detection (F16)
|
100% |
4341
324.1 IPS |
|
|
Object Detection (I8)
|
63% |
3988
297.7 IPS |
|
|
Face Detection (F32)
|
100% |
16668
198.2 IPS |
|
|
Face Detection (F16)
|
100% |
16941
201.4 IPS |
|
|
Face Detection (I8)
|
89% |
14022
166.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
26239
203.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
25191
195.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
24176
187.5 IPS |
|
|
Style Transfer (F32)
|
100% |
118079
155.3 IPS |
|
|
Style Transfer (F16)
|
100% |
116195
152.8 IPS |
|
|
Style Transfer (I8)
|
98% |
103437
136.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23434
836.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24695
881.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17176
613.4 IPS |
|
|
Text Classification (F32)
|
100% |
2144
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
2187
3.14 KIPS |
|
|
Text Classification (I8)
|
98% |
1308
1.88 KIPS |
|
|
Machine Translation (F32)
|
100% |
3517
64.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3532
65.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1673
30.8 IPS |
