SAMSUNG ELECTRONICS CO., LTD. Galaxy Book Go 5G
Geekbench ML Score
658
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 26 2024 09:06 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 | DirectML |
| Device | Qualcomm(R) Adreno(TM) 690 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
460
86.0 IPS |
|
|
Image Classification (F16)
|
100% |
461
86.2 IPS |
|
|
Image Classification (I8)
|
100% |
245
45.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
464
7.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
473
7.90 IPS |
|
|
Image Segmentation (I8)
|
98% |
282
4.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
2702
3.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
2690
3.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
1922
2.33 IPS |
|
|
Object Detection (F32)
|
100% |
321
23.9 IPS |
|
|
Object Detection (F16)
|
100% |
322
24.1 IPS |
|
|
Object Detection (I8)
|
71% |
224
16.7 IPS |
|
|
Face Detection (F32)
|
100% |
883
10.5 IPS |
|
|
Face Detection (F16)
|
100% |
869
10.3 IPS |
|
|
Face Detection (I8)
|
93% |
414
4.92 IPS |
|
|
Depth Estimation (F32)
|
100% |
1806
14.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1811
14.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
1023
7.94 IPS |
|
|
Style Transfer (F32)
|
100% |
3853
5.07 IPS |
|
|
Style Transfer (F16)
|
100% |
3840
5.05 IPS |
|
|
Style Transfer (I8)
|
98% |
2754
3.62 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1432
51.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1416
50.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
615
22.0 IPS |
|
|
Text Classification (F32)
|
100% |
160
230.0 IPS |
|
|
Text Classification (F16)
|
100% |
159
229.0 IPS |
|
|
Text Classification (I8)
|
98% |
92
132.3 IPS |
|
|
Machine Translation (F32)
|
100% |
402
7.40 IPS |
|
|
Machine Translation (F16)
|
100% |
402
7.40 IPS |
|
|
Machine Translation (I8)
|
65% |
170
3.12 IPS |
