SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
1696
Single Precision Score
870
Half Precision Score
3613
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 05:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) 3 100U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XGK-LS4IN |
| Power Plan | Samsung Mode |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 3 100U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1211
225.3 IPS |
|
|
Image Classification (HP)
|
100% |
346
64.4 IPS |
|
|
Image Classification (Q)
|
99% |
2514
469.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
754
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.45 IPS |
|
|
Image Segmentation (Q)
|
98% |
3435
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2386
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1819
2.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
7866
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
1231
97.6 IPS |
|
|
Object Detection (HP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (Q)
|
86% |
2588
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3123
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
4992
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3264
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1193
9.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
6584
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5996
7.71 IPS |
|
|
Style Transfer (HP)
|
100% |
4364
5.61 IPS |
|
|
Style Transfer (Q)
|
98% |
10999
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2763
102.3 IPS |
|
|
Text Classification (SP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
577
770.2 IPS |
|
|
Text Classification (Q)
|
97% |
1248
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
65% |
1731
34.8 IPS |
