AZW GTi14
Geekbench ML Score
3256
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 05 2024 12:23 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW GTi14 |
| Motherboard | AZW GTi14 |
| Power Plan | High 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 | 3.10 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% |
1676
313.6 IPS |
|
|
Image Classification (F16)
|
100% |
1644
307.6 IPS |
|
|
Image Classification (I8)
|
99% |
3178
594.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1050
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1050
17.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2763
46.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5807
7.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
5799
7.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
21301
25.8 IPS |
|
|
Object Detection (F32)
|
100% |
1705
127.3 IPS |
|
|
Object Detection (F16)
|
100% |
1682
125.6 IPS |
|
|
Object Detection (I8)
|
62% |
1598
119.3 IPS |
|
|
Face Detection (F32)
|
100% |
3621
43.0 IPS |
|
|
Face Detection (F16)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (I8)
|
89% |
3949
47.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6550
50.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
6512
50.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12866
99.8 IPS |
|
|
Style Transfer (F32)
|
100% |
14143
18.6 IPS |
|
|
Style Transfer (F16)
|
100% |
14265
18.8 IPS |
|
|
Style Transfer (I8)
|
98% |
19051
25.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2716
97.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2765
98.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4677
167.0 IPS |
|
|
Text Classification (F32)
|
100% |
1207
1.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1192
1.71 KIPS |
|
|
Text Classification (I8)
|
98% |
504
723.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1848
34.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1822
33.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2954
54.4 IPS |
