Microsoft Corporation Surface Pro X
Geekbench ML Score
615
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | July 12 2024 10:45 PM |
| Views | 19 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro X |
| Motherboard | Microsoft Corporation Surface Pro X |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Microsoft SQ1 @ 3.0 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 805 Revision D0E |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) 680 GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
427
79.9 IPS |
|
|
Image Classification (F16)
|
100% |
416
77.9 IPS |
|
|
Image Classification (I8)
|
100% |
233
43.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
465
7.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
452
7.54 IPS |
|
|
Image Segmentation (I8)
|
98% |
268
4.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
2512
3.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
2530
3.06 IPS |
|
|
Pose Estimation (I8)
|
100% |
1811
2.19 IPS |
|
|
Object Detection (F32)
|
100% |
306
22.8 IPS |
|
|
Object Detection (F16)
|
100% |
302
22.5 IPS |
|
|
Object Detection (I8)
|
71% |
212
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
851
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
846
10.1 IPS |
|
|
Face Detection (I8)
|
93% |
393
4.67 IPS |
|
|
Depth Estimation (F32)
|
100% |
1662
12.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
1666
12.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
967
7.50 IPS |
|
|
Style Transfer (F32)
|
100% |
3633
4.78 IPS |
|
|
Style Transfer (F16)
|
100% |
3644
4.79 IPS |
|
|
Style Transfer (I8)
|
98% |
2520
3.31 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1202
42.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1285
45.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
562
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
141
203.1 IPS |
|
|
Text Classification (F16)
|
100% |
148
213.3 IPS |
|
|
Text Classification (I8)
|
98% |
86
123.4 IPS |
|
|
Machine Translation (F32)
|
100% |
374
6.89 IPS |
|
|
Machine Translation (F16)
|
100% |
383
7.05 IPS |
|
|
Machine Translation (I8)
|
65% |
158
2.91 IPS |
