Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench ML Score
1920
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 15 2024 06:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1056
197.5 IPS |
|
|
Image Classification (F16)
|
100% |
1020
190.8 IPS |
|
|
Image Classification (I8)
|
100% |
828
154.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1476
24.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1439
24.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1374
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8447
10.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
8614
10.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
7512
9.10 IPS |
|
|
Object Detection (F32)
|
100% |
916
68.4 IPS |
|
|
Object Detection (F16)
|
100% |
802
59.8 IPS |
|
|
Object Detection (I8)
|
71% |
751
56.0 IPS |
|
|
Face Detection (F32)
|
100% |
2191
26.1 IPS |
|
|
Face Detection (F16)
|
100% |
2191
26.1 IPS |
|
|
Face Detection (I8)
|
93% |
1902
22.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5001
38.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5037
39.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
4260
33.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12840
16.9 IPS |
|
|
Style Transfer (F16)
|
100% |
12108
15.9 IPS |
|
|
Style Transfer (I8)
|
98% |
11035
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4941
176.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4907
175.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3368
120.3 IPS |
|
|
Text Classification (F32)
|
100% |
218
313.6 IPS |
|
|
Text Classification (F16)
|
100% |
203
291.9 IPS |
|
|
Text Classification (I8)
|
98% |
202
289.6 IPS |
|
|
Machine Translation (F32)
|
100% |
782
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
793
14.6 IPS |
|
|
Machine Translation (I8)
|
65% |
529
9.74 IPS |
