SAMSUNG ELECTRONICS CO., LTD. 750XFH
Geekbench AI Score
5451
Single Precision Score
9911
Half Precision Score
11312
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | erickdeoliveiraleal |
| Upload Date | June 22 2025 11:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A350M Graphics (dGPU) |
| 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% |
2907
540.7 IPS |
|
|
Image Classification (HP)
|
100% |
4875
906.6 IPS |
|
|
Image Classification (Q)
|
100% |
5113
950.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4311
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7448
120.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8673
140.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16377
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
55761
65.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
98652
115.5 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
5717
453.5 IPS |
|
|
Object Detection (Q)
|
88% |
6225
498.9 IPS |
|
|
Face Detection (SP)
|
100% |
7496
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
12667
150.5 IPS |
|
|
Face Detection (Q)
|
100% |
13901
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12714
98.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22715
175.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
27268
212.0 IPS |
|
|
Style Transfer (SP)
|
100% |
41296
53.1 IPS |
|
|
Style Transfer (HP)
|
100% |
94230
121.1 IPS |
|
|
Style Transfer (Q)
|
98% |
134851
173.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6251
230.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14136
522.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14613
541.2 IPS |
|
|
Text Classification (SP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1000
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1687
29.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1687
29.1 IPS |
