Microsoft Corporation Surface Pro 12in 1st Ed with Snapdragon
Geekbench AI Score
1588
Single Precision Score
2706
Half Precision Score
5900
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| Upload Date | November 06 2025 08:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon X Plus (8-core) @ 3.30 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Surface Pro 12in 1st Ed with Snapdragon |
| Motherboard | Microsoft Corporation Surface Pro 12in 1st Ed with Snapdragon |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon X Plus (8-core) @ 3.30 GHz |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
584
108.7 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.4 IPS |
|
|
Image Classification (Q)
|
99% |
4244
791.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6377
103.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3643
4.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
5017
5.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
16991
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
734
58.3 IPS |
|
|
Object Detection (HP)
|
99% |
2072
164.8 IPS |
|
|
Object Detection (Q)
|
86% |
4688
376.8 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
6487
77.1 IPS |
|
|
Face Detection (Q)
|
97% |
9311
111.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2026
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3326
25.7 IPS |
|
|
Depth Estimation (Q)
|
79% |
11642
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9669
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10248
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29194
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3833
141.9 IPS |
|
|
Text Classification (SP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
547
729.9 IPS |
|
|
Text Classification (Q)
|
97% |
884
1.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1698
29.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1971
34.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2214
44.5 IPS |
