Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1913
Single Precision Score
3160
Half Precision Score
7030
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | daromeer |
| Upload Date | July 20 2025 12:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
743
138.1 IPS |
|
|
Image Classification (HP)
|
100% |
3298
613.4 IPS |
|
|
Image Classification (Q)
|
99% |
6786
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3555
57.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9266
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5977
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
8762
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
26529
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
99% |
2221
176.7 IPS |
|
|
Object Detection (Q)
|
86% |
6782
545.1 IPS |
|
|
Face Detection (SP)
|
100% |
1813
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
6912
82.1 IPS |
|
|
Face Detection (Q)
|
97% |
11131
132.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2111
16.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3167
24.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
12335
98.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12459
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8899
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33417
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2005
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2253
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
1122
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
582
777.1 IPS |
|
|
Text Classification (Q)
|
97% |
955
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1985
34.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2756
47.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2641
53.1 IPS |
