ALASKA A_M_I_
Geekbench ML Score
872
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 07 2024 03:55 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ALASKA A_M_I_ |
| Motherboard | |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 64.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 6.00 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% |
459
86.0 IPS |
|
|
Image Classification (F16)
|
100% |
495
92.6 IPS |
|
|
Image Classification (I8)
|
99% |
707
132.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
412
6.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
424
7.09 IPS |
|
|
Image Segmentation (I8)
|
98% |
692
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1052
1.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
903
1.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
2395
2.90 IPS |
|
|
Object Detection (F32)
|
100% |
503
37.5 IPS |
|
|
Object Detection (F16)
|
100% |
456
34.0 IPS |
|
|
Object Detection (I8)
|
62% |
550
41.0 IPS |
|
|
Face Detection (F32)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (I8)
|
89% |
1521
18.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1390
10.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1343
10.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
2655
20.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2831
3.72 IPS |
|
|
Style Transfer (F16)
|
100% |
2407
3.17 IPS |
|
|
Style Transfer (I8)
|
98% |
4199
5.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
662
23.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
643
23.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1018
36.3 IPS |
|
|
Text Classification (F32)
|
100% |
510
733.6 IPS |
|
|
Text Classification (F16)
|
100% |
508
730.0 IPS |
|
|
Text Classification (I8)
|
98% |
191
275.0 IPS |
|
|
Machine Translation (F32)
|
100% |
741
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
788
14.5 IPS |
|
|
Machine Translation (I8)
|
67% |
897
16.5 IPS |
