SAMSUNG ELECTRONICS CO., LTD. 960QGK
Geekbench AI Score
2765
Single Precision Score
1067
Half Precision Score
4975
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 04:44 AM |
| Views | 3 |
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. NP960QGK-KG1US |
| 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% |
2315
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.1 IPS |
|
|
Image Classification (Q)
|
99% |
4909
915.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2564
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4974
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
15714
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
86% |
4743
381.2 IPS |
|
|
Face Detection (SP)
|
100% |
5857
69.6 IPS |
|
|
Face Detection (HP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6633
79.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4393
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1308
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11616
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11769
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7695
9.89 IPS |
|
|
Style Transfer (Q)
|
98% |
18387
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1529
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2651
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
515
687.6 IPS |
|
|
Text Classification (Q)
|
97% |
1095
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2408
48.4 IPS |
