SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
1812
Single Precision Score
15989
Half Precision Score
35770
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | April 17 2025 10:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XQA-KB1UK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
639
118.9 IPS |
|
|
Image Classification (HP)
|
100% |
10672
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
17993
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8064
130.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17271
280.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3906
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
71657
83.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
245611
287.9 IPS |
|
|
Object Detection (SP)
|
100% |
795
63.0 IPS |
|
|
Object Detection (HP)
|
100% |
10923
866.4 IPS |
|
|
Object Detection (Q)
|
92% |
19812
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
24477
290.8 IPS |
|
|
Face Detection (Q)
|
97% |
55762
664.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2027
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42936
330.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
107328
856.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11098
14.3 IPS |
|
|
Style Transfer (HP)
|
98% |
57104
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
263611
339.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1902
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30495
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66077
2.44 KIPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (Q)
|
95% |
3686
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2197
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (Q)
|
67% |
5902
114.9 IPS |
