SAMSUNG ELECTRONICS CO., LTD. 730QFG
Geekbench AI Score
2352
Single Precision Score
945
Half Precision Score
4258
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ks5z |
| Upload Date | March 19 2026 10:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 730QFG |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP730QFG-KA1US |
| 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% |
2205
410.0 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.1 IPS |
|
|
Image Classification (Q)
|
99% |
3728
695.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4758
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3399
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2178
2.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
9067
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
86% |
2700
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
4613
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
821
9.75 IPS |
|
|
Face Detection (Q)
|
97% |
5714
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4590
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1169
9.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
9535
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8562
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
5895
7.58 IPS |
|
|
Style Transfer (Q)
|
98% |
13258
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3381
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
1126
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
597
796.9 IPS |
|
|
Text Classification (Q)
|
97% |
1042
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
65% |
1776
35.7 IPS |
