N/A
Geekbench AI Score
6
Single Precision Score
6
Half Precision Score
4
Quantized Score
Geekbench AI 1.1.0 for Linux x86 (64-bit)
Result Information
| Upload Date | October 06 2024 10:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel N100 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15
2.82 IPS |
|
|
Image Classification (HP)
|
100% |
15
2.82 IPS |
|
|
Image Classification (Q)
|
97% |
12
2.18 IPS |
|
|
Image Segmentation (SP)
|
100% |
21
0.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
20
0.33 IPS |
|
|
Image Segmentation (Q)
|
98% |
16
0.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
4
0.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
5
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
4
0.00 IPS |
|
|
Object Detection (SP)
|
100% |
3
0.22 IPS |
|
|
Object Detection (HP)
|
100% |
3
0.22 IPS |
|
|
Object Detection (Q)
|
87% |
2
0.17 IPS |
|
|
Face Detection (SP)
|
100% |
9
0.11 IPS |
|
|
Face Detection (HP)
|
100% |
9
0.11 IPS |
|
|
Face Detection (Q)
|
97% |
7
0.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
7
0.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
7
0.05 IPS |
|
|
Depth Estimation (Q)
|
64% |
5
0.04 IPS |
|
|
Style Transfer (SP)
|
100% |
16
0.02 IPS |
|
|
Style Transfer (HP)
|
100% |
16
0.02 IPS |
|
|
Style Transfer (Q)
|
98% |
11
0.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3
0.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3
0.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2
0.09 IPS |
|
|
Text Classification (SP)
|
100% |
2
2.30 IPS |
|
|
Text Classification (HP)
|
100% |
2
2.33 IPS |
|
|
Text Classification (Q)
|
91% |
2
2.15 IPS |
|
|
Machine Translation (SP)
|
100% |
3
0.06 IPS |
|
|
Machine Translation (HP)
|
100% |
4
0.07 IPS |
|
|
Machine Translation (Q)
|
58% |
3
0.07 IPS |
