SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
1340
Single Precision Score
1750
Half Precision Score
4475
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | rjmaybin |
| Upload Date | July 06 2025 04:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E80100 - 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. NP940XMA-KB1US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
638
118.6 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.7 IPS |
|
|
Image Classification (Q)
|
99% |
5254
979.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2247
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4534
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
6887
8.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
19531
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (HP)
|
99% |
905
72.0 IPS |
|
|
Object Detection (Q)
|
86% |
5959
478.9 IPS |
|
|
Face Detection (SP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
6617
78.6 IPS |
|
|
Face Detection (Q)
|
97% |
10446
124.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2246
17.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3067
23.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
8219
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11588
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1810
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3056
3.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
158
5.84 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3466
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
548
731.4 IPS |
|
|
Text Classification (Q)
|
97% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1560
26.9 IPS |
|
|
Machine Translation (HP)
|
99% |
2114
36.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2394
48.1 IPS |
