SAMSUNG ELECTRONICS CO., LTD. 960QGK
Geekbench AI Score
2683
Single Precision Score
1076
Half Precision Score
4123
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960QGK-K71AG |
| 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% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.6 IPS |
|
|
Image Classification (Q)
|
99% |
4636
864.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2147
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4511
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
13827
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1665
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
86% |
3396
272.9 IPS |
|
|
Face Detection (SP)
|
100% |
4742
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
5782
68.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5007
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1498
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11936
95.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10896
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7528
9.68 IPS |
|
|
Style Transfer (Q)
|
98% |
16790
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2987
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.1 IPS |
|
|
Text Classification (Q)
|
97% |
436
584.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1559
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2013
40.4 IPS |
