SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench ML Score
2367
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 17 2024 05:27 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 | DirectML |
| Device | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1517
283.9 IPS |
|
|
Image Classification (F16)
|
100% |
1499
280.4 IPS |
|
|
Image Classification (I8)
|
100% |
1239
231.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1731
28.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1721
28.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1502
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9398
11.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9739
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
8834
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
1245
93.0 IPS |
|
|
Object Detection (F16)
|
100% |
1234
92.2 IPS |
|
|
Object Detection (I8)
|
71% |
1097
81.9 IPS |
|
|
Face Detection (F32)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (F16)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (I8)
|
93% |
2286
27.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5576
43.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5632
43.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
4655
36.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13118
17.3 IPS |
|
|
Style Transfer (F16)
|
100% |
13315
17.5 IPS |
|
|
Style Transfer (I8)
|
98% |
11921
15.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5075
181.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5056
180.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3612
129.0 IPS |
|
|
Text Classification (F32)
|
100% |
302
433.8 IPS |
|
|
Text Classification (F16)
|
100% |
300
431.7 IPS |
|
|
Text Classification (I8)
|
98% |
246
354.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1076
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1087
20.0 IPS |
|
|
Machine Translation (I8)
|
65% |
699
12.9 IPS |
