SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
1729
Single Precision Score
2681
Half Precision Score
5849
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 07 2025 09:52 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. NP960XMA-KB1CA |
| 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% |
672
125.1 IPS |
|
|
Image Classification (HP)
|
100% |
2743
510.1 IPS |
|
|
Image Classification (Q)
|
99% |
6210
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3059
49.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2258
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5471
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7021
8.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
20613
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
718
57.0 IPS |
|
|
Object Detection (HP)
|
99% |
1758
139.8 IPS |
|
|
Object Detection (Q)
|
86% |
5897
473.9 IPS |
|
|
Face Detection (SP)
|
100% |
1443
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
6545
77.8 IPS |
|
|
Face Detection (Q)
|
97% |
10041
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2013
15.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2544
19.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
9924
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11041
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8312
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
34906
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1859
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1378
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2862
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
1184
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
562
749.9 IPS |
|
|
Text Classification (Q)
|
97% |
1014
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1733
29.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2725
54.8 IPS |
