ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MZ_GU605MZ
Geekbench ML Score
2817
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 25 2024 02:59 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Zephyrus G16 GU605MZ_GU605MZ |
| Motherboard | ASUSTeK COMPUTER INC. GU605MZ |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1386
259.4 IPS |
|
|
Image Classification (F16)
|
100% |
1332
249.2 IPS |
|
|
Image Classification (I8)
|
99% |
2731
511.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1164
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1219
20.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2332
39.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5287
6.40 IPS |
|
|
Pose Estimation (F16)
|
100% |
5638
6.83 IPS |
|
|
Pose Estimation (I8)
|
100% |
22013
26.7 IPS |
|
|
Object Detection (F32)
|
100% |
1362
101.7 IPS |
|
|
Object Detection (F16)
|
100% |
1422
106.1 IPS |
|
|
Object Detection (I8)
|
62% |
1264
94.4 IPS |
|
|
Face Detection (F32)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (F16)
|
100% |
3158
37.6 IPS |
|
|
Face Detection (I8)
|
89% |
3172
37.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5157
40.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5097
39.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
10160
78.8 IPS |
|
|
Style Transfer (F32)
|
100% |
13945
18.3 IPS |
|
|
Style Transfer (F16)
|
100% |
14610
19.2 IPS |
|
|
Style Transfer (I8)
|
98% |
18339
24.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2334
83.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2397
85.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3150
112.5 IPS |
|
|
Text Classification (F32)
|
100% |
944
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
964
1.38 KIPS |
|
|
Text Classification (I8)
|
98% |
850
1.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1149
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1150
21.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2085
38.4 IPS |
