Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1827
Single Precision Score
8401
Half Precision Score
12942
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | chaoskk |
| Upload Date | February 06 2025 02:56 PM |
| Views | 8 |
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% |
684
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
7151
1.33 KIPS |
|
|
Image Classification (Q)
|
99% |
9779
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6722
109.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7846
127.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5153
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67586
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
154870
181.5 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
100% |
2871
227.7 IPS |
|
|
Object Detection (Q)
|
92% |
2857
228.1 IPS |
|
|
Face Detection (SP)
|
100% |
1780
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
11474
136.3 IPS |
|
|
Face Detection (Q)
|
97% |
17325
206.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2236
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27644
213.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
51764
415.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12268
15.8 IPS |
|
|
Style Transfer (HP)
|
98% |
36469
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
163438
210.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1509
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20284
749.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29468
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
316
421.6 IPS |
|
|
Text Classification (Q)
|
95% |
446
597.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1996
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2534
43.6 IPS |
|
|
Machine Translation (Q)
|
67% |
2017
39.3 IPS |
