SAMSUNG ELECTRONICS CO., LTD. 750BBC
Geekbench AI Score
2147
Single Precision Score
2247
Half Precision Score
3075
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 03:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| 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% |
1119
208.1 IPS |
|
|
Image Classification (HP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (Q)
|
100% |
1998
371.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2418
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2785
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2682
3.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
4588
5.38 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (Q)
|
87% |
2146
172.1 IPS |
|
|
Face Detection (SP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (Q)
|
97% |
5694
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3332
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3590
27.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
5773
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8191
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8216
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14642
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1716
63.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3162
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (Q)
|
91% |
489
657.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2123
36.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2142
36.9 IPS |
