SAMSUNG ELECTRONICS CO., LTD. 750QFG
Geekbench AI Score
2352
Single Precision Score
953
Half Precision Score
4508
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 26 2025 03:58 PM |
| Views | 2 |
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% |
1945
361.7 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
99% |
3702
690.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
572
9.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
3943
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3309
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
11211
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (HP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (Q)
|
86% |
3514
282.4 IPS |
|
|
Face Detection (SP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
1046
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5942
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4669
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1335
10.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9837
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8532
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6091
7.83 IPS |
|
|
Style Transfer (Q)
|
98% |
14711
19.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1576
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3472
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
1250
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.4 IPS |
|
|
Text Classification (Q)
|
97% |
1050
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (Q)
|
65% |
1923
38.6 IPS |
