Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench ML Score
1992
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | August 15 2024 07:07 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th 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 | 16.00 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% |
1080
202.0 IPS |
|
|
Image Classification (F16)
|
100% |
1107
207.2 IPS |
|
|
Image Classification (I8)
|
100% |
924
172.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1545
25.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1290
21.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1327
22.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
9263
11.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
9280
11.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
8321
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
847
63.2 IPS |
|
|
Object Detection (F16)
|
100% |
832
62.1 IPS |
|
|
Object Detection (I8)
|
71% |
997
74.4 IPS |
|
|
Face Detection (F32)
|
100% |
2411
28.7 IPS |
|
|
Face Detection (F16)
|
100% |
2284
27.2 IPS |
|
|
Face Detection (I8)
|
93% |
1910
22.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4982
38.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4886
37.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
4217
32.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12444
16.4 IPS |
|
|
Style Transfer (F16)
|
100% |
12518
16.5 IPS |
|
|
Style Transfer (I8)
|
98% |
11504
15.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4726
168.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4628
165.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3314
118.3 IPS |
|
|
Text Classification (F32)
|
100% |
244
350.9 IPS |
|
|
Text Classification (F16)
|
100% |
237
341.0 IPS |
|
|
Text Classification (I8)
|
98% |
198
285.1 IPS |
|
|
Machine Translation (F32)
|
100% |
881
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
825
15.2 IPS |
|
|
Machine Translation (I8)
|
65% |
560
10.3 IPS |
