Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1943
Single Precision Score
13387
Half Precision Score
29019
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 18 2025 11:08 PM |
| Views | 2 |
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 | 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% |
731
135.9 IPS |
|
|
Image Classification (HP)
|
100% |
6477
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
9786
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7453
120.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15216
247.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4373
5.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
67342
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
215550
252.7 IPS |
|
|
Object Detection (SP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (HP)
|
100% |
9532
756.1 IPS |
|
|
Object Detection (Q)
|
92% |
16999
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
20113
239.0 IPS |
|
|
Face Detection (Q)
|
97% |
52819
629.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2399
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38962
300.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
91219
728.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14113
18.1 IPS |
|
|
Style Transfer (HP)
|
98% |
55571
71.7 IPS |
|
|
Style Transfer (Q)
|
98% |
245902
317.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26402
974.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
56228
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
1517
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (Q)
|
95% |
2855
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2808
48.4 IPS |
|
|
Machine Translation (Q)
|
67% |
4082
79.4 IPS |
