Microsoft Corporation Surface Pro X
Geekbench ML Score
344
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| Upload Date | September 02 2024 09:05 AM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
66
12.4 IPS |
|
|
Image Classification (F16)
|
100% |
73
13.6 IPS |
|
|
Image Classification (I8)
|
99% |
411
76.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
113
1.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
125
2.08 IPS |
|
|
Image Segmentation (I8)
|
98% |
515
8.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
557
0.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
573
0.69 IPS |
|
|
Pose Estimation (I8)
|
100% |
2839
3.44 IPS |
|
|
Object Detection (F32)
|
100% |
91
6.81 IPS |
|
|
Object Detection (F16)
|
100% |
92
6.83 IPS |
|
|
Object Detection (I8)
|
65% |
359
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
258
3.06 IPS |
|
|
Face Detection (F16)
|
100% |
261
3.11 IPS |
|
|
Face Detection (I8)
|
89% |
919
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
308
2.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
308
2.39 IPS |
|
|
Depth Estimation (I8)
|
96% |
1757
13.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1618
2.13 IPS |
|
|
Style Transfer (F16)
|
100% |
1547
2.03 IPS |
|
|
Style Transfer (I8)
|
98% |
5073
6.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
319
11.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
335
12.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
545
19.5 IPS |
|
|
Text Classification (F32)
|
100% |
195
280.6 IPS |
|
|
Text Classification (F16)
|
100% |
192
275.6 IPS |
|
|
Text Classification (I8)
|
98% |
73
104.9 IPS |
|
|
Machine Translation (F32)
|
100% |
208
3.82 IPS |
|
|
Machine Translation (F16)
|
100% |
207
3.81 IPS |
|
|
Machine Translation (I8)
|
67% |
380
6.99 IPS |
