SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
995
Single Precision Score
15359
Half Precision Score
33078
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | July 06 2025 04:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
436
81.0 IPS |
|
|
Image Classification (HP)
|
100% |
10562
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
15420
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
8080
131.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16665
271.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2633
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
70646
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
236034
276.7 IPS |
|
|
Object Detection (SP)
|
100% |
819
65.0 IPS |
|
|
Object Detection (HP)
|
100% |
11018
873.9 IPS |
|
|
Object Detection (Q)
|
92% |
19962
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
22905
272.2 IPS |
|
|
Face Detection (Q)
|
97% |
49136
585.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1269
9.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
41255
317.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
99410
793.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7844
10.1 IPS |
|
|
Style Transfer (HP)
|
98% |
50798
65.5 IPS |
|
|
Style Transfer (Q)
|
98% |
257039
331.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28748
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56852
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
181
241.5 IPS |
|
|
Text Classification (HP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (Q)
|
95% |
3330
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (Q)
|
67% |
5449
106.0 IPS |
