Microsoft Corporation Surface Pro 12in 1st Ed with Snapdragon
Geekbench AI Score
1122
Single Precision Score
2087
Half Precision Score
3970
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| User | Exiledfathom |
| Upload Date | February 12 2026 09:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon X Plus (8-core) @ 3.30 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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% |
647
120.4 IPS |
|
|
Image Classification (HP)
|
100% |
2241
416.8 IPS |
|
|
Image Classification (Q)
|
99% |
2915
543.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
2365
38.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4601
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2088
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4084
4.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
6558
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (HP)
|
99% |
1600
127.3 IPS |
|
|
Object Detection (Q)
|
86% |
3679
295.6 IPS |
|
|
Face Detection (SP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (Q)
|
97% |
6866
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1248
9.61 IPS |
|
|
Depth Estimation (HP)
|
98% |
2334
18.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
7307
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4759
6.12 IPS |
|
|
Style Transfer (HP)
|
100% |
6784
8.72 IPS |
|
|
Style Transfer (Q)
|
98% |
17756
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2523
93.4 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.4 IPS |
|
|
Text Classification (Q)
|
97% |
764
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1426
24.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1598
27.6 IPS |
|
|
Machine Translation (Q)
|
65% |
1753
35.2 IPS |
