SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
1615
Single Precision Score
14210
Half Precision Score
25136
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 11 2025 10:08 PM |
| Views | 16 |
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% |
580
107.8 IPS |
|
|
Image Classification (HP)
|
100% |
9340
1.74 KIPS |
|
|
Image Classification (Q)
|
99% |
15713
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7232
117.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9436
153.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3648
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
68433
79.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
220044
257.9 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
100% |
9343
741.1 IPS |
|
|
Object Detection (Q)
|
92% |
12127
968.0 IPS |
|
|
Face Detection (SP)
|
100% |
1696
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
19761
234.8 IPS |
|
|
Face Detection (Q)
|
97% |
40842
487.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1896
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
39735
306.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
97870
785.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8627
11.1 IPS |
|
|
Style Transfer (HP)
|
98% |
55897
72.1 IPS |
|
|
Style Transfer (Q)
|
98% |
207485
267.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1618
59.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27395
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40652
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
1562
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (Q)
|
95% |
3801
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1680
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2906
50.0 IPS |
|
|
Machine Translation (Q)
|
67% |
1986
38.6 IPS |
