SAMSUNG ELECTRONICS CO., LTD. 300E4C/300E5C/300E7C
Geekbench AI Score
258
Single Precision Score
258
Half Precision Score
356
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | FidanKazan |
| Upload Date | February 04 2025 10:39 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-2310M CPU @ 2.10GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 LTSC (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 300E4C/300E5C/300E7C |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP300E5C-S0URU |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2310M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
135
25.2 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.0 IPS |
|
|
Image Classification (Q)
|
100% |
223
41.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
210
3.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.38 IPS |
|
|
Image Segmentation (Q)
|
99% |
262
4.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
465
0.55 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (Q)
|
87% |
224
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (HP)
|
100% |
481
5.71 IPS |
|
|
Face Detection (Q)
|
97% |
624
7.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
426
3.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
426
3.28 IPS |
|
|
Depth Estimation (Q)
|
81% |
586
4.63 IPS |
|
|
Style Transfer (SP)
|
100% |
660
0.85 IPS |
|
|
Style Transfer (HP)
|
100% |
661
0.85 IPS |
|
|
Style Transfer (Q)
|
98% |
1396
1.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
193
7.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.14 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
281
10.4 IPS |
|
|
Text Classification (SP)
|
100% |
237
315.7 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.8 IPS |
|
|
Text Classification (Q)
|
91% |
141
189.8 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (Q)
|
100% |
267
4.61 IPS |
