Microsoft Corporation Surface Pro 12in 1st Ed with Snapdragon
Geekbench AI Score
1846
Single Precision Score
2723
Half Precision Score
6688
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| Upload Date | July 05 2025 06:37 AM |
| Views | 5 |
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% |
650
120.9 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.4 IPS |
|
|
Image Classification (Q)
|
99% |
6349
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2994
48.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7052
114.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4342
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4354
5.08 IPS |
|
|
Pose Estimation (Q)
|
94% |
17668
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
831
65.9 IPS |
|
|
Object Detection (HP)
|
99% |
2321
184.7 IPS |
|
|
Object Detection (Q)
|
86% |
6037
485.2 IPS |
|
|
Face Detection (SP)
|
100% |
1840
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
5303
63.0 IPS |
|
|
Face Detection (Q)
|
97% |
10956
130.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2309
17.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3337
25.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
9326
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11185
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6666
8.57 IPS |
|
|
Style Transfer (Q)
|
98% |
23926
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3941
145.9 IPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
731
975.5 IPS |
|
|
Text Classification (Q)
|
97% |
1228
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.5 IPS |
|
|
Machine Translation (HP)
|
99% |
3009
52.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3173
63.8 IPS |
