SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench AI Score
2586
Single Precision Score
997
Half Precision Score
4625
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 03:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT940XGK-RS3 |
| Power Plan | SAMSUNG MODE |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2093
389.3 IPS |
|
|
Image Classification (HP)
|
100% |
355
65.9 IPS |
|
|
Image Classification (Q)
|
99% |
4160
776.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2659
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4616
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2682
3.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
13230
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
100% |
446
35.4 IPS |
|
|
Object Detection (Q)
|
86% |
4326
347.6 IPS |
|
|
Face Detection (SP)
|
100% |
5436
64.6 IPS |
|
|
Face Detection (HP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
6044
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5164
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1405
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10517
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9962
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6738
8.66 IPS |
|
|
Style Transfer (Q)
|
98% |
16416
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1874
69.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2832
104.9 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
499
665.7 IPS |
|
|
Text Classification (Q)
|
97% |
1160
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (Q)
|
65% |
2065
41.5 IPS |
