ASUSTeK COMPUTER INC. ROG Zephyrus G16 GA605WI_GA605WI
Geekbench ML Score
3765
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2025 07:04 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1483
277.5 IPS |
|
|
Image Classification (F16)
|
100% |
1480
276.9 IPS |
|
|
Image Classification (I8)
|
99% |
4072
761.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1047
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1077
18.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2939
49.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
7176
8.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
8114
9.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
28245
34.2 IPS |
|
|
Object Detection (F32)
|
100% |
1633
121.9 IPS |
|
|
Object Detection (F16)
|
100% |
1664
124.2 IPS |
|
|
Object Detection (I8)
|
62% |
1996
149.0 IPS |
|
|
Face Detection (F32)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (F16)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (I8)
|
89% |
5682
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6947
53.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6763
52.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
16864
130.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17149
22.6 IPS |
|
|
Style Transfer (F16)
|
100% |
16058
21.1 IPS |
|
|
Style Transfer (I8)
|
98% |
30539
40.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2812
100.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3043
108.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4077
145.6 IPS |
|
|
Text Classification (F32)
|
100% |
1468
2.11 KIPS |
|
|
Text Classification (F16)
|
100% |
1400
2.01 KIPS |
|
|
Text Classification (I8)
|
98% |
1202
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
2442
44.9 IPS |
|
|
Machine Translation (F16)
|
100% |
2448
45.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3604
66.3 IPS |
