Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2020
Single Precision Score
10780
Half Precision Score
20719
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | June 17 2025 05:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
707
131.5 IPS |
|
|
Image Classification (HP)
|
100% |
10529
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
16261
3.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7490
121.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9168
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5949
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
69700
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
234475
274.8 IPS |
|
|
Object Detection (SP)
|
100% |
770
61.1 IPS |
|
|
Object Detection (HP)
|
100% |
10751
852.8 IPS |
|
|
Object Detection (Q)
|
82% |
14821
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
22765
270.5 IPS |
|
|
Face Detection (Q)
|
97% |
42950
512.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2493
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40736
313.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
79180
643.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14942
19.2 IPS |
|
|
Style Transfer (HP)
|
23% |
2726
93.9 IPS |
|
|
Style Transfer (Q)
|
98% |
178165
229.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28431
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40105
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1935
2.58 KIPS |
|
|
Text Classification (Q)
|
95% |
3226
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2581
44.5 IPS |
|
|
Machine Translation (Q)
|
37% |
359
35.0 IPS |
