To Be Filled By O.E.M. To Be Filled By O.E.M.
Geekbench AI Score
7
Single Precision Score
7
Half Precision Score
5
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | xDJoelDx |
| Upload Date | December 06 2024 10:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Celeron J1900 |
| System Information | |
|---|---|
| Operating System | Linux Mint 21.3 |
| Model | To Be Filled By O.E.M. To Be Filled By O.E.M. |
| Motherboard | ASRock Q1900M |
| CPU Information | |
|---|---|
| Name | Intel Celeron J1900 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 55 Stepping 3 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4
0.78 IPS |
|
|
Image Classification (HP)
|
100% |
4
0.78 IPS |
|
|
Image Classification (Q)
|
97% |
4
0.67 IPS |
|
|
Image Segmentation (SP)
|
100% |
6
0.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
6
0.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
5
0.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
7
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
7
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
6
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
4
0.32 IPS |
|
|
Object Detection (HP)
|
100% |
4
0.32 IPS |
|
|
Object Detection (Q)
|
87% |
3
0.28 IPS |
|
|
Face Detection (SP)
|
100% |
14
0.16 IPS |
|
|
Face Detection (HP)
|
100% |
14
0.16 IPS |
|
|
Face Detection (Q)
|
97% |
11
0.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
10
0.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
10
0.08 IPS |
|
|
Depth Estimation (Q)
|
64% |
7
0.07 IPS |
|
|
Style Transfer (SP)
|
100% |
20
0.03 IPS |
|
|
Style Transfer (HP)
|
100% |
20
0.03 IPS |
|
|
Style Transfer (Q)
|
98% |
18
0.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4
0.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4
0.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4
0.14 IPS |
|
|
Text Classification (SP)
|
100% |
6
7.34 IPS |
|
|
Text Classification (HP)
|
100% |
6
7.34 IPS |
|
|
Text Classification (Q)
|
91% |
5
6.09 IPS |
|
|
Machine Translation (SP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (HP)
|
100% |
11
0.19 IPS |
|
|
Machine Translation (Q)
|
58% |
6
0.15 IPS |
