SAMSUNG ELECTRONICS CO., LTD. Galaxy Book4 Edge
Geekbench ML Score
2566
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| User | vinith_vijayarajan |
| Upload Date | July 15 2024 03:26 PM |
| 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. NT960XMB-K01AB |
| 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% |
1411
264.0 IPS |
|
|
Image Classification (F16)
|
100% |
1621
303.3 IPS |
|
|
Image Classification (I8)
|
100% |
1298
242.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1854
31.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1862
31.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1621
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
10486
12.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9655
11.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9855
11.9 IPS |
|
|
Object Detection (F32)
|
100% |
1345
100.4 IPS |
|
|
Object Detection (F16)
|
100% |
1355
101.1 IPS |
|
|
Object Detection (I8)
|
71% |
1185
88.4 IPS |
|
|
Face Detection (F32)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (F16)
|
100% |
2991
35.6 IPS |
|
|
Face Detection (I8)
|
93% |
2437
29.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6238
48.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6194
48.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
5234
40.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15185
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
15190
20.0 IPS |
|
|
Style Transfer (I8)
|
98% |
13758
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5722
204.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5629
201.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3995
142.7 IPS |
|
|
Text Classification (F32)
|
100% |
300
431.8 IPS |
|
|
Text Classification (F16)
|
100% |
336
482.8 IPS |
|
|
Text Classification (I8)
|
98% |
273
391.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1186
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1210
22.3 IPS |
|
|
Machine Translation (I8)
|
65% |
753
13.9 IPS |
