SAMSUNG ELECTRONICS CO., LTD. 750QFG
Geekbench AI Score
2534
Single Precision Score
2465
Half Precision Score
5756
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | April 19 2025 10:20 AM |
| Views | 7 |
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% |
1281
238.2 IPS |
|
|
Image Classification (HP)
|
100% |
1306
242.9 IPS |
|
|
Image Classification (Q)
|
100% |
4188
778.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3975
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3700
4.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
9327
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1293
102.6 IPS |
|
|
Object Detection (HP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (Q)
|
88% |
3725
298.6 IPS |
|
|
Face Detection (SP)
|
100% |
4033
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
4087
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
8680
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3835
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3958
30.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
9469
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9919
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9818
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28268
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1860
68.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1890
69.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5957
220.6 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1432
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
3220
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1534
26.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1549
26.7 IPS |
