SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
581
Single Precision Score
271
Half Precision Score
962
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 04:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 5 120U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT751XGK-K0D/R |
| 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% |
1464
272.4 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
99% |
3090
576.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
148
2.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
2153
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2545
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
1934
2.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
2439
2.86 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.8 IPS |
|
|
Object Detection (HP)
|
100% |
104
8.24 IPS |
|
|
Object Detection (Q)
|
86% |
437
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
705
8.38 IPS |
|
|
Face Detection (HP)
|
100% |
217
2.58 IPS |
|
|
Face Detection (Q)
|
97% |
934
11.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
835
6.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
298
2.29 IPS |
|
|
Depth Estimation (Q)
|
78% |
1110
8.86 IPS |
|
|
Style Transfer (SP)
|
100% |
2762
3.55 IPS |
|
|
Style Transfer (HP)
|
100% |
1896
2.44 IPS |
|
|
Style Transfer (Q)
|
98% |
3206
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
336
12.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
257
9.48 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
441
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
127
170.0 IPS |
|
|
Text Classification (HP)
|
100% |
64
85.3 IPS |
|
|
Text Classification (Q)
|
97% |
173
232.3 IPS |
|
|
Machine Translation (SP)
|
100% |
240
4.13 IPS |
|
|
Machine Translation (HP)
|
100% |
106
1.83 IPS |
|
|
Machine Translation (Q)
|
65% |
380
7.63 IPS |
