ALASKA A_M_I_
Geekbench AI Score
670
Single Precision Score
637
Half Precision Score
1200
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | urostor |
| Upload Date | December 06 2024 11:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ALASKA A_M_I_ |
| Motherboard | |
| Power Plan | Balanced |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
282
52.4 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.4 IPS |
|
|
Image Classification (Q)
|
100% |
564
104.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
474
7.69 IPS |
|
|
Image Segmentation (Q)
|
99% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
963
1.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
965
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
2127
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.1 IPS |
|
|
Object Detection (Q)
|
88% |
587
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
911
10.8 IPS |
|
|
Face Detection (Q)
|
100% |
1443
17.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1008
7.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
934
7.20 IPS |
|
|
Depth Estimation (Q)
|
89% |
2061
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2408
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
2516
3.23 IPS |
|
|
Style Transfer (Q)
|
98% |
5925
7.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
456
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
500
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1391
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
587
783.9 IPS |
|
|
Text Classification (HP)
|
100% |
347
462.9 IPS |
|
|
Text Classification (Q)
|
92% |
704
946.2 IPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
100% |
701
12.1 IPS |
