SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench ML Score
2613
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 12 2024 12:08 PM |
| Views | 4 |
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. NP960XMB-KB1DE |
| Power Plan | Ausbalanciert |
| 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 |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Snapdragon(R) X Elite - X1E84100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1626
304.3 IPS |
|
|
Image Classification (F16)
|
100% |
1619
303.0 IPS |
|
|
Image Classification (I8)
|
100% |
1333
249.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1832
30.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1837
30.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1614
27.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
10638
12.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
10765
13.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
9688
11.7 IPS |
|
|
Object Detection (F32)
|
100% |
1317
98.3 IPS |
|
|
Object Detection (F16)
|
100% |
1331
99.3 IPS |
|
|
Object Detection (I8)
|
71% |
1184
88.4 IPS |
|
|
Face Detection (F32)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (F16)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (I8)
|
93% |
2471
29.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6186
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6159
47.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
5250
40.7 IPS |
|
|
Style Transfer (F32)
|
100% |
15146
19.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15044
19.8 IPS |
|
|
Style Transfer (I8)
|
98% |
13834
18.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5602
200.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5624
200.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3917
139.9 IPS |
|
|
Text Classification (F32)
|
100% |
360
517.9 IPS |
|
|
Text Classification (F16)
|
100% |
362
519.9 IPS |
|
|
Text Classification (I8)
|
98% |
293
421.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1202
22.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1208
22.2 IPS |
|
|
Machine Translation (I8)
|
65% |
769
14.1 IPS |
