SAMSUNG ELECTRONICS CO., LTD. 750QFG
Geekbench AI Score
2469
Single Precision Score
1004
Half Precision Score
4446
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | April 19 2025 09:44 AM |
| Views | 7 |
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% |
2201
409.4 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (Q)
|
99% |
4043
754.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2243
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3719
4.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2549
2.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
12094
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1739
138.0 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
3937
316.4 IPS |
|
|
Face Detection (SP)
|
100% |
4473
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
6157
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4751
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1342
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9079
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8733
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6311
8.11 IPS |
|
|
Style Transfer (Q)
|
98% |
14776
19.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2908
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
1166
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
473
631.5 IPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
65% |
2063
41.5 IPS |
