SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench ML Score
2926
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 17 2024 05:29 PM |
| Views | 2 |
System Information
| 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 | High performance |
| 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 | 4.01 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
692
129.4 IPS |
|
|
Image Classification (F16)
|
100% |
694
129.9 IPS |
|
|
Image Classification (I8)
|
99% |
3955
740.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
795
13.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2353
39.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6338
7.68 IPS |
|
|
Pose Estimation (F16)
|
100% |
6482
7.85 IPS |
|
|
Pose Estimation (I8)
|
100% |
25295
30.6 IPS |
|
|
Object Detection (F32)
|
100% |
923
68.9 IPS |
|
|
Object Detection (F16)
|
100% |
910
67.9 IPS |
|
|
Object Detection (I8)
|
65% |
3304
246.6 IPS |
|
|
Face Detection (F32)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (F16)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (I8)
|
89% |
5970
71.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2583
20.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2535
19.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
14444
112.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15128
19.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15901
20.9 IPS |
|
|
Style Transfer (I8)
|
98% |
27906
36.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2548
91.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2489
88.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3999
142.8 IPS |
|
|
Text Classification (F32)
|
100% |
1402
2.02 KIPS |
|
|
Text Classification (F16)
|
100% |
1410
2.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1156
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
2100
38.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2063
38.0 IPS |
|
|
Machine Translation (I8)
|
67% |
3524
64.9 IPS |
