Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench ML Score
1993
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 10 2024 08:09 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Laptop, 7th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1401
262.2 IPS |
|
|
Image Classification (F16)
|
100% |
1359
254.3 IPS |
|
|
Image Classification (I8)
|
100% |
1109
207.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1349
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1367
22.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1204
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8626
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
9000
10.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
7677
9.30 IPS |
|
|
Object Detection (F32)
|
100% |
1069
79.8 IPS |
|
|
Object Detection (F16)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (I8)
|
71% |
935
69.8 IPS |
|
|
Face Detection (F32)
|
100% |
2225
26.5 IPS |
|
|
Face Detection (F16)
|
100% |
2204
26.2 IPS |
|
|
Face Detection (I8)
|
93% |
1930
22.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4872
37.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5011
38.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
4294
33.3 IPS |
|
|
Style Transfer (F32)
|
100% |
11951
15.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12233
16.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11029
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4748
169.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4695
167.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3300
117.9 IPS |
|
|
Text Classification (F32)
|
100% |
237
341.1 IPS |
|
|
Text Classification (F16)
|
100% |
168
241.2 IPS |
|
|
Text Classification (I8)
|
98% |
201
288.4 IPS |
|
|
Machine Translation (F32)
|
100% |
805
14.8 IPS |
|
|
Machine Translation (F16)
|
100% |
814
15.0 IPS |
|
|
Machine Translation (I8)
|
65% |
544
10.0 IPS |
