ALASKA A_M_I_
Geekbench AI Score
878
Single Precision Score
459
Half Precision Score
1356
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | urostor |
| Upload Date | December 06 2024 11:14 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel 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% |
601
111.8 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
99% |
1000
186.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
448
7.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
900
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1119
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
877
1.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
2377
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
576
45.7 IPS |
|
|
Object Detection (HP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (Q)
|
86% |
978
78.6 IPS |
|
|
Face Detection (SP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
574
6.82 IPS |
|
|
Face Detection (Q)
|
97% |
2227
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1543
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
675
5.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
2329
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2864
3.68 IPS |
|
|
Style Transfer (HP)
|
100% |
1934
2.49 IPS |
|
|
Style Transfer (Q)
|
98% |
3141
4.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
959
35.5 IPS |
|
|
Text Classification (SP)
|
100% |
512
683.8 IPS |
|
|
Text Classification (HP)
|
100% |
310
414.0 IPS |
|
|
Text Classification (Q)
|
97% |
656
879.2 IPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.71 IPS |
|
|
Machine Translation (Q)
|
65% |
987
19.8 IPS |
