SAMSUNG ELECTRONICS CO., LTD. 750QFG
Geekbench AI Score
2412
Single Precision Score
979
Half Precision Score
4279
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | April 19 2025 10:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2160
401.7 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
3772
703.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2231
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3625
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2461
2.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
11241
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1702
135.0 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
86% |
3719
298.9 IPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
5641
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4595
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1300
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9194
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8683
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6092
7.83 IPS |
|
|
Style Transfer (Q)
|
98% |
15242
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1250
46.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2620
97.0 IPS |
|
|
Text Classification (SP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.2 IPS |
|
|
Text Classification (Q)
|
97% |
1354
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (Q)
|
65% |
2087
41.9 IPS |
