SAMSUNG ELECTRONICS CO., LTD. 750XFH
Geekbench AI Score
4624
Single Precision Score
6043
Half Precision Score
9086
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | erickdeoliveiraleal |
| Upload Date | June 22 2025 11:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2889
537.3 IPS |
|
|
Image Classification (HP)
|
100% |
3874
720.4 IPS |
|
|
Image Classification (Q)
|
99% |
4828
900.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4557
73.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7310
118.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9349
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10101
11.8 IPS |
|
|
Pose Estimation (HP)
|
99% |
7839
9.15 IPS |
|
|
Pose Estimation (Q)
|
97% |
31599
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
2788
221.1 IPS |
|
|
Object Detection (HP)
|
100% |
3794
300.9 IPS |
|
|
Object Detection (Q)
|
90% |
5706
456.2 IPS |
|
|
Face Detection (SP)
|
100% |
7416
88.1 IPS |
|
|
Face Detection (HP)
|
100% |
11012
130.8 IPS |
|
|
Face Detection (Q)
|
100% |
15609
185.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9252
71.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
14973
115.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
18959
147.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26412
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38388
49.3 IPS |
|
|
Style Transfer (Q)
|
98% |
70778
91.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4270
157.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6693
247.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11418
422.8 IPS |
|
|
Text Classification (SP)
|
71% |
1137
1.64 KIPS |
|
|
Text Classification (HP)
|
71% |
1201
1.74 KIPS |
|
|
Text Classification (Q)
|
92% |
1330
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1371
23.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1518
26.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1482
25.5 IPS |
