SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
2254
Single Precision Score
943
Half Precision Score
4110
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 03:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 7 150U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XGK-KS2US |
| Power Plan | CPU Lab - Battery Testing |
| CPU Information | |
|---|---|
| Name | Intel Core 7 150U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
99% |
3501
653.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2336
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
10298
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1666
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.8 IPS |
|
|
Object Detection (Q)
|
86% |
3336
268.1 IPS |
|
|
Face Detection (SP)
|
100% |
4065
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
6176
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4503
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1256
9.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
8527
68.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8437
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5499
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
13727
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1672
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1101
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2782
103.0 IPS |
|
|
Text Classification (SP)
|
100% |
1113
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
517
690.6 IPS |
|
|
Text Classification (Q)
|
97% |
1395
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.81 IPS |
|
|
Machine Translation (Q)
|
65% |
1749
35.2 IPS |
