SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
3416
Single Precision Score
4736
Half Precision Score
7674
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | major14 |
| Upload Date | August 01 2025 07:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2230
414.7 IPS |
|
|
Image Classification (HP)
|
100% |
2991
556.2 IPS |
|
|
Image Classification (Q)
|
99% |
4687
874.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3264
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5206
84.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7657
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7154
8.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
5324
6.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
24367
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (HP)
|
100% |
2904
230.3 IPS |
|
|
Object Detection (Q)
|
90% |
4151
331.9 IPS |
|
|
Face Detection (SP)
|
100% |
5746
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
8896
105.7 IPS |
|
|
Face Detection (Q)
|
100% |
14194
168.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7292
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11300
87.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
15069
117.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18181
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29027
37.3 IPS |
|
|
Style Transfer (Q)
|
98% |
52366
67.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2938
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4390
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9152
338.9 IPS |
|
|
Text Classification (SP)
|
71% |
896
1.30 KIPS |
|
|
Text Classification (HP)
|
71% |
1141
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1137
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1616
27.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1676
29.0 IPS |
