SAMSUNG ELECTRONICS CO., LTD. 960QGK
Geekbench AI Score
3215
Single Precision Score
1259
Half Precision Score
2441
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 04:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
0% |
0
684.8 IPS |
|
|
Image Classification (Q)
|
99% |
1195
223.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7037
114.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13721
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20263
23.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12199
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
334.9 IPS |
|
|
Object Detection (Q)
|
89% |
1115
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
7924
94.2 IPS |
|
|
Face Detection (Q)
|
97% |
1104
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7314
56.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
20588
159.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
6038
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43924
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
58863
75.7 IPS |
|
|
Style Transfer (Q)
|
98% |
32790
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7552
278.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9619
355.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5017
185.8 IPS |
|
|
Text Classification (SP)
|
86% |
733
991.8 IPS |
|
|
Text Classification (HP)
|
99% |
531
708.3 IPS |
|
|
Text Classification (Q)
|
83% |
495
674.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1447
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (Q)
|
60% |
649
14.5 IPS |
