ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI
Geekbench ML Score
3175
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 10:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MI_GU605MI |
| Motherboard | ASUSTeK COMPUTER INC. GU605MI |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1598
298.9 IPS |
|
|
Image Classification (F16)
|
100% |
1589
297.3 IPS |
|
|
Image Classification (I8)
|
99% |
2965
554.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1440
24.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1320
22.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2367
39.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6082
7.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
6176
7.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
21504
26.0 IPS |
|
|
Object Detection (F32)
|
100% |
1607
119.9 IPS |
|
|
Object Detection (F16)
|
100% |
1591
118.8 IPS |
|
|
Object Detection (I8)
|
62% |
1494
111.5 IPS |
|
|
Face Detection (F32)
|
100% |
3521
41.9 IPS |
|
|
Face Detection (F16)
|
100% |
3555
42.3 IPS |
|
|
Face Detection (I8)
|
89% |
3619
43.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6565
50.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6596
51.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
12401
96.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14484
19.1 IPS |
|
|
Style Transfer (F16)
|
100% |
14535
19.1 IPS |
|
|
Style Transfer (I8)
|
98% |
18705
24.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2736
97.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2723
97.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4271
152.5 IPS |
|
|
Text Classification (F32)
|
100% |
1161
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1117
1.61 KIPS |
|
|
Text Classification (I8)
|
98% |
406
583.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1599
29.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1601
29.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2644
48.7 IPS |
