SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
1750
Single Precision Score
2632
Half Precision Score
5686
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 28 2024 02:21 AM |
| Views | 2 |
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% |
2254
419.2 IPS |
|
|
Image Classification (Q)
|
99% |
4901
914.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1725
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4446
5.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3567
4.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
18343
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
99% |
2039
162.2 IPS |
|
|
Object Detection (Q)
|
86% |
6226
500.4 IPS |
|
|
Face Detection (SP)
|
100% |
1765
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
6527
77.6 IPS |
|
|
Face Detection (Q)
|
97% |
10694
127.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2014
15.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3393
26.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
10689
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12669
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9641
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
30827
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2109
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3399
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
554
739.6 IPS |
|
|
Text Classification (Q)
|
97% |
1053
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1656
28.5 IPS |
|
|
Machine Translation (HP)
|
99% |
2232
38.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2903
58.3 IPS |
