SAMSUNG ELECTRONICS CO., LTD. 300E4C/300E5C/300E7C
Geekbench AI Score
320
Single Precision Score
190
Half Precision Score
267
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | FidanKazan |
| Upload Date | February 04 2025 09:52 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-2310M |
| 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% |
214
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.4 IPS |
|
|
Image Classification (Q)
|
96% |
198
36.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
168
2.73 IPS |
|
|
Pose Estimation (SP)
|
100% |
380
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
298
0.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
364
0.43 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
101
8.05 IPS |
|
|
Object Detection (Q)
|
58% |
133
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
590
7.01 IPS |
|
|
Face Detection (HP)
|
100% |
268
3.18 IPS |
|
|
Face Detection (Q)
|
96% |
448
5.34 IPS |
|
|
Depth Estimation (SP)
|
100% |
488
3.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
281
2.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
428
3.41 IPS |
|
|
Style Transfer (SP)
|
100% |
931
1.20 IPS |
|
|
Style Transfer (HP)
|
100% |
788
1.01 IPS |
|
|
Style Transfer (Q)
|
87% |
841
1.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
214
7.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
173
6.40 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
207
7.68 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.2 IPS |
|
|
Text Classification (HP)
|
100% |
119
159.4 IPS |
|
|
Text Classification (Q)
|
97% |
119
159.6 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
137
2.36 IPS |
|
|
Machine Translation (Q)
|
68% |
295
5.70 IPS |
