SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
1854
Single Precision Score
3147
Half Precision Score
6334
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | Pachnes |
| Upload Date | December 20 2025 07:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E84100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XMB-KB1DE |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E84100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
689
128.1 IPS |
|
|
Image Classification (HP)
|
100% |
2483
461.7 IPS |
|
|
Image Classification (Q)
|
99% |
4344
810.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
750
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3598
58.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8668
140.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7091
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
7453
8.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
26680
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
837
66.4 IPS |
|
|
Object Detection (HP)
|
99% |
2493
198.3 IPS |
|
|
Object Detection (Q)
|
86% |
4734
380.5 IPS |
|
|
Face Detection (SP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
6887
81.8 IPS |
|
|
Face Detection (Q)
|
97% |
10041
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2276
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4147
32.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
14112
112.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17312
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12610
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
36261
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1812
66.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2495
92.4 IPS |
|
|
Text Classification (SP)
|
100% |
798
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
528
704.2 IPS |
|
|
Text Classification (Q)
|
97% |
866
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1963
33.9 IPS |
|
|
Machine Translation (Q)
|
65% |
1971
39.6 IPS |
