SAMSUNG ELECTRONICS CO., LTD. 750QFG
Geekbench AI Score
2441
Single Precision Score
2406
Half Precision Score
5672
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | April 19 2025 10:15 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% |
1381
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.5 IPS |
|
|
Image Classification (Q)
|
100% |
4137
769.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2009
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4165
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3529
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3286
3.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
9194
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (Q)
|
88% |
3738
299.7 IPS |
|
|
Face Detection (SP)
|
100% |
4111
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
4157
49.4 IPS |
|
|
Face Detection (Q)
|
100% |
8672
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3804
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3545
27.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9654
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9191
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9436
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22578
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6035
223.5 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (Q)
|
92% |
3257
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1569
27.0 IPS |
