Microsoft Corporation Microsoft Surface Laptop, 7th Edition
Geekbench ML Score
2205
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | November 16 2024 08:54 AM |
| Views | 4 |
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 | Ausbalanciert |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1145
214.2 IPS |
|
|
Image Classification (F16)
|
100% |
1178
220.5 IPS |
|
|
Image Classification (I8)
|
100% |
993
185.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1521
25.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1509
25.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1294
21.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
8203
9.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
7732
9.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
8323
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
1238
92.4 IPS |
|
|
Object Detection (F16)
|
100% |
1212
90.5 IPS |
|
|
Object Detection (I8)
|
71% |
1092
81.5 IPS |
|
|
Face Detection (F32)
|
100% |
2841
33.8 IPS |
|
|
Face Detection (F16)
|
100% |
2701
32.1 IPS |
|
|
Face Detection (I8)
|
93% |
2242
26.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5454
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5408
41.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
4573
35.5 IPS |
|
|
Style Transfer (F32)
|
100% |
12902
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
13131
17.3 IPS |
|
|
Style Transfer (I8)
|
98% |
12109
15.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4969
177.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4679
167.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3509
125.3 IPS |
|
|
Text Classification (F32)
|
100% |
295
423.9 IPS |
|
|
Text Classification (F16)
|
100% |
293
421.7 IPS |
|
|
Text Classification (I8)
|
98% |
227
326.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1061
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1068
19.6 IPS |
|
|
Machine Translation (I8)
|
65% |
678
12.5 IPS |
