SAMSUNG ELECTRONICS CO., LTD. 750BBC
Geekbench AI Score
405
Single Precision Score
448
Half Precision Score
729
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 03:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
425
79.1 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.8 IPS |
|
|
Image Classification (Q)
|
100% |
401
74.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
570
9.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.43 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
2.58 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
4.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
1961
2.30 IPS |
|
|
Object Detection (SP)
|
100% |
459
36.4 IPS |
|
|
Object Detection (HP)
|
98% |
474
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
424
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
943
11.2 IPS |
|
|
Face Detection (HP)
|
100% |
1040
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
829
9.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
1654
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2002
15.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1443
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5814
7.47 IPS |
|
|
Style Transfer (HP)
|
100% |
8777
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5075
6.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
873
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
284
378.5 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.6 IPS |
|
|
Text Classification (Q)
|
97% |
202
270.3 IPS |
|
|
Machine Translation (SP)
|
100% |
393
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
327
5.63 IPS |
|
|
Machine Translation (Q)
|
70% |
230
4.31 IPS |
