SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
2017
Single Precision Score
2022
Half Precision Score
3720
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | major14 |
| Upload Date | August 01 2025 06:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 120U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XGK-LS2IN |
| Power Plan | Samsung Mode |
| CPU Information | |
|---|---|
| Name | Intel Core 5 120U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
998
185.6 IPS |
|
|
Image Classification (HP)
|
100% |
990
184.1 IPS |
|
|
Image Classification (Q)
|
100% |
2121
394.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2723
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2854
3.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
2864
3.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
6604
7.74 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
1158
91.9 IPS |
|
|
Object Detection (Q)
|
88% |
2287
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (Q)
|
100% |
5719
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3174
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3151
24.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
6474
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8277
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8250
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20013
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1484
54.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1500
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3383
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1258
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
1790
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1386
23.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1297
22.3 IPS |
