SAMSUNG ELECTRONICS CO., LTD. R530/R730/R540
Geekbench AI Score
6
Single Precision Score
6
Half Precision Score
5
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| User | Imro74 |
| Upload Date | December 16 2024 04:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-380M |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | SAMSUNG ELECTRONICS CO., LTD. R530/R730/R540 |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. R530/R730/R540 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-380M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 5 |
| Base Frequency | 2.53 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4
0.78 IPS |
|
|
Image Classification (HP)
|
100% |
4
0.72 IPS |
|
|
Image Classification (Q)
|
97% |
3
0.61 IPS |
|
|
Image Segmentation (SP)
|
100% |
5
0.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
5
0.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
5
0.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
6
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
5
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
4
0.30 IPS |
|
|
Object Detection (HP)
|
100% |
4
0.30 IPS |
|
|
Object Detection (Q)
|
87% |
3
0.26 IPS |
|
|
Face Detection (SP)
|
100% |
13
0.15 IPS |
|
|
Face Detection (HP)
|
100% |
13
0.15 IPS |
|
|
Face Detection (Q)
|
97% |
11
0.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
9
0.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
9
0.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
7
0.06 IPS |
|
|
Style Transfer (SP)
|
100% |
20
0.03 IPS |
|
|
Style Transfer (HP)
|
100% |
19
0.03 IPS |
|
|
Style Transfer (Q)
|
98% |
17
0.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4
0.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4
0.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4
0.13 IPS |
|
|
Text Classification (SP)
|
100% |
5
6.98 IPS |
|
|
Text Classification (HP)
|
100% |
5
7.02 IPS |
|
|
Text Classification (Q)
|
91% |
4
5.87 IPS |
|
|
Machine Translation (SP)
|
100% |
10
0.17 IPS |
|
|
Machine Translation (HP)
|
100% |
10
0.17 IPS |
|
|
Machine Translation (Q)
|
58% |
6
0.14 IPS |
