SAMSUNG ELECTRONICS CO., LTD. 300E5EV/300E4EV/270E5EV/270E4EV/2470EV
Geekbench AI Score
323
Single Precision Score
202
Half Precision Score
291
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | JMALMOHAZEMH |
| Upload Date | April 08 2025 10:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-3110M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 300E5EV/300E4EV/270E5EV/270E4EV/2470EV |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP270E5V-K0CSA |
| CPU Information | |
|---|---|
| Name | Intel Core i3-3110M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
96% |
218
40.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
187
3.05 IPS |
|
|
Pose Estimation (SP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
389
0.46 IPS |
|
|
Object Detection (SP)
|
100% |
191
15.1 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.98 IPS |
|
|
Object Detection (Q)
|
58% |
146
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
580
6.89 IPS |
|
|
Face Detection (HP)
|
100% |
283
3.36 IPS |
|
|
Face Detection (Q)
|
96% |
473
5.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
526
4.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
294
2.26 IPS |
|
|
Depth Estimation (Q)
|
78% |
458
3.65 IPS |
|
|
Style Transfer (SP)
|
100% |
993
1.28 IPS |
|
|
Style Transfer (HP)
|
100% |
794
1.02 IPS |
|
|
Style Transfer (Q)
|
87% |
918
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
222
8.20 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
184
6.78 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
218
8.09 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.1 IPS |
|
|
Text Classification (HP)
|
100% |
121
162.2 IPS |
|
|
Text Classification (Q)
|
97% |
129
172.6 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.07 IPS |
|
|
Machine Translation (HP)
|
100% |
159
2.73 IPS |
|
|
Machine Translation (Q)
|
68% |
346
6.68 IPS |
