Samsung Galaxy Book6 Pro - PAMB
Geekbench AI Score
4416
Single Precision Score
37308
Half Precision Score
55584
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 24 2026 05:09 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Samsung Galaxy Book6 Pro - PAMB |
| Motherboard | Samsung NP964XJG-KG4SE |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 356H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2875
534.6 IPS |
|
|
Image Classification (HP)
|
100% |
22040
4.10 KIPS |
|
|
Image Classification (Q)
|
100% |
27977
5.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3229
52.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14870
241.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22485
365.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5402
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
120619
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
271175
317.9 IPS |
|
|
Object Detection (SP)
|
100% |
2599
206.2 IPS |
|
|
Object Detection (HP)
|
100% |
24407
1.94 KIPS |
|
|
Object Detection (Q)
|
87% |
33659
2.70 KIPS |
|
|
Face Detection (SP)
|
100% |
8077
96.0 IPS |
|
|
Face Detection (HP)
|
100% |
56687
673.6 IPS |
|
|
Face Detection (Q)
|
100% |
81195
964.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6745
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95167
733.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
186982
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
15690
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246809
317.3 IPS |
|
|
Style Transfer (Q)
|
98% |
393029
506.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3058
112.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60139
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
113200
4.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4351
5.81 KIPS |
|
|
Text Classification (Q)
|
92% |
4695
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2862
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15543
267.7 IPS |
|
|
Machine Translation (Q)
|
100% |
15461
266.3 IPS |
