SAMSUNG ELECTRONICS CO., LTD. Galaxy Book Go 5G
Geekbench ML Score
402
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 26 2024 09:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. Galaxy Book Go 5G |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP545XLA-KA1TT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon (TM) 8cx Gen 2 @ 3.15 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 805 Revision D0E |
| Base Frequency | 3.15 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
78
14.5 IPS |
|
|
Image Classification (F16)
|
100% |
78
14.7 IPS |
|
|
Image Classification (I8)
|
99% |
530
99.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
153
2.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
153
2.55 IPS |
|
|
Image Segmentation (I8)
|
98% |
657
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
678
0.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
677
0.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
3401
4.12 IPS |
|
|
Object Detection (F32)
|
100% |
110
8.18 IPS |
|
|
Object Detection (F16)
|
100% |
108
8.05 IPS |
|
|
Object Detection (I8)
|
65% |
458
34.2 IPS |
|
|
Face Detection (F32)
|
100% |
305
3.62 IPS |
|
|
Face Detection (F16)
|
100% |
307
3.65 IPS |
|
|
Face Detection (I8)
|
89% |
1109
13.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
371
2.88 IPS |
|
|
Depth Estimation (F16)
|
100% |
369
2.86 IPS |
|
|
Depth Estimation (I8)
|
96% |
2132
16.5 IPS |
|
|
Style Transfer (F32)
|
100% |
1866
2.45 IPS |
|
|
Style Transfer (F16)
|
100% |
1877
2.47 IPS |
|
|
Style Transfer (I8)
|
98% |
6216
8.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
377
13.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
365
13.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
610
21.8 IPS |
|
|
Text Classification (F32)
|
100% |
223
320.0 IPS |
|
|
Text Classification (F16)
|
100% |
230
331.1 IPS |
|
|
Text Classification (I8)
|
98% |
79
114.2 IPS |
|
|
Machine Translation (F32)
|
100% |
246
4.52 IPS |
|
|
Machine Translation (F16)
|
100% |
233
4.29 IPS |
|
|
Machine Translation (I8)
|
67% |
250
4.60 IPS |
