SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench AI Score
2246
Single Precision Score
1826
Half Precision Score
5898
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 17 2024 01:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E84100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XMB-KB1FR |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E84100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
799
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.0 IPS |
|
|
Image Classification (Q)
|
99% |
4407
822.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3117
50.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2612
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6741
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
9817
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
25376
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
850
67.5 IPS |
|
|
Object Detection (HP)
|
99% |
696
55.4 IPS |
|
|
Object Detection (Q)
|
88% |
4762
381.7 IPS |
|
|
Face Detection (SP)
|
100% |
1975
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
6515
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2788
21.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2641
20.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
9741
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16622
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11743
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
35256
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2325
85.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1098
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4177
154.7 IPS |
|
|
Text Classification (SP)
|
100% |
1653
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
488
652.0 IPS |
|
|
Text Classification (Q)
|
97% |
1336
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1965
33.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2934
65.5 IPS |
