SAMSUNG ELECTRONICS CO., LTD. 960QGK
Geekbench AI Score
3040
Single Precision Score
1216
Half Precision Score
6118
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 10:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960QGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960QGK-KD72G |
| 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% |
2542
472.7 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
99% |
5091
949.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7372
119.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4588
5.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2980
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
16593
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (Q)
|
86% |
5243
421.4 IPS |
|
|
Face Detection (SP)
|
100% |
6731
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
7939
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6412
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1532
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12742
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11868
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8461
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17884
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2219
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4313
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
1256
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
639
853.4 IPS |
|
|
Text Classification (Q)
|
97% |
1226
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2354
47.3 IPS |
