SAMSUNG ELECTRONICS CO., LTD. 750BBC
Geekbench AI Score
1778
Single Precision Score
766
Half Precision Score
2323
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 02:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750BBC |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT751BBC-K782S |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1438
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (Q)
|
96% |
1895
353.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
2318
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3039
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2382
2.78 IPS |
|
|
Pose Estimation (Q)
|
86% |
4922
5.82 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
100% |
342
27.1 IPS |
|
|
Object Detection (Q)
|
58% |
1375
150.2 IPS |
|
|
Face Detection (SP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
745
8.85 IPS |
|
|
Face Detection (Q)
|
96% |
3486
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3684
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1019
7.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
4450
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7063
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
5313
6.83 IPS |
|
|
Style Transfer (Q)
|
87% |
7875
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1280
47.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1714
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
715
954.2 IPS |
|
|
Text Classification (HP)
|
100% |
435
580.9 IPS |
|
|
Text Classification (Q)
|
97% |
557
746.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.54 IPS |
|
|
Machine Translation (Q)
|
68% |
1324
25.6 IPS |
