SAMSUNG ELECTRONICS CO., LTD. 300E5EV/300E4EV/270E5EV/270E4EV/2470EV
Geekbench AI Score
338
Single Precision Score
207
Half Precision Score
299
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | JMALMOHAZEMH |
| Upload Date | April 09 2025 07:33 AM |
| Views | 10 |
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% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (Q)
|
96% |
210
39.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
144
2.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
185
3.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
396
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
313
0.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
399
0.47 IPS |
|
|
Object Detection (SP)
|
100% |
215
17.1 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.08 IPS |
|
|
Object Detection (Q)
|
58% |
150
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
641
7.62 IPS |
|
|
Face Detection (HP)
|
100% |
294
3.50 IPS |
|
|
Face Detection (Q)
|
96% |
566
6.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
507
3.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
300
2.31 IPS |
|
|
Depth Estimation (Q)
|
78% |
468
3.73 IPS |
|
|
Style Transfer (SP)
|
100% |
1008
1.30 IPS |
|
|
Style Transfer (HP)
|
100% |
796
1.02 IPS |
|
|
Style Transfer (Q)
|
87% |
941
1.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
229
8.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
195
7.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
221
8.19 IPS |
|
|
Text Classification (SP)
|
100% |
178
238.2 IPS |
|
|
Text Classification (HP)
|
100% |
125
167.0 IPS |
|
|
Text Classification (Q)
|
97% |
131
174.9 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.76 IPS |
|
|
Machine Translation (Q)
|
68% |
342
6.61 IPS |
