SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench ML Score
2959
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 10 2024 05:36 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-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 | 4.20 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% |
783
146.4 IPS |
|
|
Image Classification (F16)
|
100% |
753
141.0 IPS |
|
|
Image Classification (I8)
|
99% |
4294
803.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
857
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
861
14.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2566
42.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6414
7.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
6895
8.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
26066
31.6 IPS |
|
|
Object Detection (F32)
|
100% |
981
73.3 IPS |
|
|
Object Detection (F16)
|
100% |
992
74.1 IPS |
|
|
Object Detection (I8)
|
65% |
3631
271.1 IPS |
|
|
Face Detection (F32)
|
100% |
1987
23.6 IPS |
|
|
Face Detection (F16)
|
100% |
1332
15.8 IPS |
|
|
Face Detection (I8)
|
89% |
4611
54.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2515
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2553
19.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
15408
119.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12147
16.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15426
20.3 IPS |
|
|
Style Transfer (I8)
|
98% |
34004
44.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2428
86.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2446
87.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4239
151.4 IPS |
|
|
Text Classification (F32)
|
100% |
1574
2.26 KIPS |
|
|
Text Classification (F16)
|
100% |
1568
2.25 KIPS |
|
|
Text Classification (I8)
|
98% |
1292
1.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
2196
40.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1615
29.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3217
59.2 IPS |
