SAMSUNG ELECTRONICS CO., LTD. 750XFH
Geekbench AI Score
2233
Single Precision Score
2350
Half Precision Score
6170
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | erickdeoliveiraleal |
| Upload Date | June 22 2025 11:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XFH |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XFH-XS1BR |
| 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% |
1061
197.4 IPS |
|
|
Image Classification (HP)
|
100% |
1045
194.4 IPS |
|
|
Image Classification (Q)
|
100% |
3476
646.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3667
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2724
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2785
3.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
9070
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1201
95.3 IPS |
|
|
Object Detection (HP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (Q)
|
88% |
4078
326.9 IPS |
|
|
Face Detection (SP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (Q)
|
100% |
9936
118.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3997
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4030
31.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11428
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10391
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11223
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33567
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1655
61.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7045
260.9 IPS |
|
|
Text Classification (SP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1502
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1839
31.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1704
29.3 IPS |
