SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench AI Score
1668
Single Precision Score
1607
Half Precision Score
3298
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 01:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT940XGK-K71AR |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
999
185.8 IPS |
|
|
Image Classification (HP)
|
100% |
1057
196.5 IPS |
|
|
Image Classification (Q)
|
100% |
1687
313.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2053
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2963
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
10164
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
88% |
1667
133.6 IPS |
|
|
Face Detection (SP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
2322
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
3426
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2259
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3499
27.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
6708
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9426
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9156
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30673
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1669
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3252
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
568
758.7 IPS |
|
|
Text Classification (HP)
|
100% |
534
713.2 IPS |
|
|
Text Classification (Q)
|
92% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1035
17.8 IPS |
