AZW GTi14
Geekbench ML Score
1544
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 05 2024 01:58 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% |
723
135.3 IPS |
|
|
Image Classification (F16)
|
100% |
730
136.5 IPS |
|
|
Image Classification (I8)
|
99% |
1438
269.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
589
9.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
589
9.84 IPS |
|
|
Image Segmentation (I8)
|
98% |
1487
24.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2442
2.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
2453
2.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
11298
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
725
54.2 IPS |
|
|
Object Detection (F16)
|
100% |
735
54.9 IPS |
|
|
Object Detection (I8)
|
62% |
685
51.2 IPS |
|
|
Face Detection (F32)
|
100% |
1790
21.3 IPS |
|
|
Face Detection (F16)
|
100% |
1804
21.5 IPS |
|
|
Face Detection (I8)
|
89% |
2477
29.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
2555
19.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2430
18.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
6054
46.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6628
8.72 IPS |
|
|
Style Transfer (F16)
|
100% |
6650
8.75 IPS |
|
|
Style Transfer (I8)
|
98% |
11672
15.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1270
45.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1246
44.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2484
88.7 IPS |
|
|
Text Classification (F32)
|
100% |
411
590.8 IPS |
|
|
Text Classification (F16)
|
100% |
426
611.5 IPS |
|
|
Text Classification (I8)
|
98% |
306
440.5 IPS |
|
|
Machine Translation (F32)
|
100% |
910
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
912
16.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1765
32.5 IPS |
