Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1913
Single Precision Score
2915
Half Precision Score
5952
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | limtiattiong |
| Upload Date | June 15 2025 06:33 AM |
| Views | 2 |
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 | Balanced |
| 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% |
741
137.8 IPS |
|
|
Image Classification (HP)
|
100% |
3044
566.1 IPS |
|
|
Image Classification (Q)
|
99% |
7055
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
810
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2444
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
7644
8.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
15422
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
597
47.3 IPS |
|
|
Object Detection (HP)
|
99% |
2157
171.6 IPS |
|
|
Object Detection (Q)
|
86% |
5997
482.0 IPS |
|
|
Face Detection (SP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
6037
71.7 IPS |
|
|
Face Detection (Q)
|
97% |
10823
129.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2338
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3676
28.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
10710
85.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13778
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8504
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28558
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1362
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3344
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
524
699.7 IPS |
|
|
Text Classification (Q)
|
97% |
1087
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (HP)
|
99% |
2743
47.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2910
58.5 IPS |
