To be filled by O.E.M. N100
Geekbench AI Score
640
Single Precision Score
345
Half Precision Score
1165
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 04:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | To be filled by O.E.M. N100 |
| Motherboard | To be filled by O.E.M. To be filled by O.E.M. |
| Power Plan | Rovnovha |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
586
108.9 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.4 IPS |
|
|
Image Classification (Q)
|
99% |
1042
194.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
917
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
570
0.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
1798
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
775
62.3 IPS |
|
|
Face Detection (SP)
|
100% |
928
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
406
4.83 IPS |
|
|
Face Detection (Q)
|
97% |
1678
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
981
7.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
468
3.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
1892
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1864
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1431
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
3263
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
397
14.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
307
11.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
749
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
435
580.4 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.6 IPS |
|
|
Text Classification (Q)
|
97% |
615
824.2 IPS |
|
|
Machine Translation (SP)
|
100% |
537
9.25 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (Q)
|
65% |
730
14.7 IPS |
