SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench ML Score
1917
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 17 2024 03:31 AM |
| Views | 3 |
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-KB1US |
| Power Plan | Balanced |
| 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% |
1037
194.1 IPS |
|
|
Image Classification (F16)
|
100% |
1103
206.4 IPS |
|
|
Image Classification (I8)
|
100% |
914
171.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1130
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1369
22.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1161
19.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6644
8.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
6926
8.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
5763
6.98 IPS |
|
|
Object Detection (F32)
|
100% |
959
71.6 IPS |
|
|
Object Detection (F16)
|
100% |
1006
75.1 IPS |
|
|
Object Detection (I8)
|
71% |
856
63.9 IPS |
|
|
Face Detection (F32)
|
100% |
1805
21.5 IPS |
|
|
Face Detection (F16)
|
100% |
1796
21.4 IPS |
|
|
Face Detection (I8)
|
93% |
1563
18.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4926
38.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5141
39.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
4083
31.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12742
16.8 IPS |
|
|
Style Transfer (F16)
|
100% |
12042
15.8 IPS |
|
|
Style Transfer (I8)
|
98% |
11316
14.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4017
143.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3688
131.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3299
117.8 IPS |
|
|
Text Classification (F32)
|
100% |
309
444.1 IPS |
|
|
Text Classification (F16)
|
100% |
328
470.9 IPS |
|
|
Text Classification (I8)
|
98% |
260
373.4 IPS |
|
|
Machine Translation (F32)
|
100% |
986
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
992
18.3 IPS |
|
|
Machine Translation (I8)
|
65% |
641
11.8 IPS |
