SAMSUNG ELECTRONICS CO., LTD. 750QFG
Geekbench AI Score
2502
Single Precision Score
2455
Half Precision Score
5719
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | April 19 2025 09:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750QFG |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750QFG-KA5SE |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (Q)
|
100% |
4180
777.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4121
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3685
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3354
3.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
9210
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1211
96.0 IPS |
|
|
Object Detection (HP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (Q)
|
88% |
3804
305.0 IPS |
|
|
Face Detection (SP)
|
100% |
4048
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
4182
49.7 IPS |
|
|
Face Detection (Q)
|
100% |
8653
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4027
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3945
30.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9421
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10521
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10658
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27268
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5952
220.4 IPS |
|
|
Text Classification (SP)
|
100% |
1504
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
3265
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1437
24.8 IPS |
