Microsoft Corporation Surface Pro X
Geekbench AI Score
391
Single Precision Score
154
Half Precision Score
162
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | Zuluman |
| Upload Date | August 17 2024 07:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Microsoft SQ1 @ 3.0 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro X |
| Motherboard | Microsoft Corporation Surface Pro X |
| Power Plan | Ausbalanciert |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
178
33.0 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.6 IPS |
|
|
Image Classification (Q)
|
100% |
97
18.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
87
1.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
117
1.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
759
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
254
0.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
240
0.28 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
99% |
71
5.62 IPS |
|
|
Object Detection (Q)
|
89% |
82
6.55 IPS |
|
|
Face Detection (SP)
|
100% |
353
4.20 IPS |
|
|
Face Detection (HP)
|
100% |
111
1.32 IPS |
|
|
Face Detection (Q)
|
97% |
224
2.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
366
2.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
242
1.87 IPS |
|
|
Depth Estimation (Q)
|
73% |
240
1.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1979
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1011
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
619
0.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.45 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
131
4.83 IPS |
|
|
Text Classification (SP)
|
100% |
378
505.1 IPS |
|
|
Text Classification (HP)
|
100% |
120
160.5 IPS |
|
|
Text Classification (Q)
|
97% |
105
140.4 IPS |
|
|
Machine Translation (SP)
|
100% |
441
7.60 IPS |
|
|
Machine Translation (HP)
|
99% |
156
2.70 IPS |
|
|
Machine Translation (Q)
|
59% |
126
2.92 IPS |
