SAMSUNG ELECTRONICS CO., LTD. 960XGK
Geekbench AI Score
2700
Single Precision Score
2599
Half Precision Score
6312
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 10:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT960XGK-K71AR |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1517
282.1 IPS |
|
|
Image Classification (HP)
|
100% |
1371
254.9 IPS |
|
|
Image Classification (Q)
|
100% |
4493
835.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4656
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4271
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
3964
4.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
12271
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (Q)
|
88% |
4038
323.7 IPS |
|
|
Face Detection (SP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (Q)
|
100% |
9002
107.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4182
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4127
31.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10873
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10557
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10404
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32414
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1863
68.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6737
249.5 IPS |
|
|
Text Classification (SP)
|
100% |
1682
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1611
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2635
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1548
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1343
23.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1720
29.6 IPS |
