SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench ML Score
2703
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 12 2024 12:06 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. 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
788
147.5 IPS |
|
|
Image Classification (F16)
|
100% |
783
146.4 IPS |
|
|
Image Classification (I8)
|
99% |
4270
798.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
882
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
699
11.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2513
42.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6807
8.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
6365
7.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
22203
26.9 IPS |
|
|
Object Detection (F32)
|
100% |
829
61.9 IPS |
|
|
Object Detection (F16)
|
100% |
741
55.3 IPS |
|
|
Object Detection (I8)
|
65% |
2606
194.5 IPS |
|
|
Face Detection (F32)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (F16)
|
100% |
1291
15.4 IPS |
|
|
Face Detection (I8)
|
89% |
4593
54.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1994
15.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1980
15.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12245
95.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12068
15.9 IPS |
|
|
Style Transfer (F16)
|
100% |
15929
21.0 IPS |
|
|
Style Transfer (I8)
|
98% |
34848
45.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1889
67.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2235
79.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4003
142.9 IPS |
|
|
Text Classification (F32)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (F16)
|
100% |
1496
2.15 KIPS |
|
|
Text Classification (I8)
|
98% |
1274
1.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
2333
42.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1343
24.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2542
46.8 IPS |
