Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1992
Single Precision Score
12116
Half Precision Score
17697
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | chaoskk |
| Upload Date | February 06 2025 03:00 PM |
| Views | 12 |
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 (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| 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% |
688
128.0 IPS |
|
|
Image Classification (HP)
|
100% |
7283
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
8159
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7131
115.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8813
143.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6016
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
67673
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
191434
224.4 IPS |
|
|
Object Detection (SP)
|
100% |
854
67.7 IPS |
|
|
Object Detection (HP)
|
100% |
8273
656.2 IPS |
|
|
Object Detection (Q)
|
92% |
8045
642.2 IPS |
|
|
Face Detection (SP)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
20094
238.8 IPS |
|
|
Face Detection (Q)
|
97% |
34104
406.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2401
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36060
277.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
71727
575.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13638
17.5 IPS |
|
|
Style Transfer (HP)
|
98% |
51264
66.1 IPS |
|
|
Style Transfer (Q)
|
98% |
178728
230.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22721
839.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25080
928.7 IPS |
|
|
Text Classification (SP)
|
100% |
1489
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (Q)
|
95% |
1709
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (Q)
|
67% |
1452
28.3 IPS |
