Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1993
Single Precision Score
15205
Half Precision Score
26260
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 18 2024 12:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 10-core X1P64100 @ 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 10-core X1P64100 @ 3.40 GHz |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
694
129.0 IPS |
|
|
Image Classification (HP)
|
100% |
10389
1.93 KIPS |
|
|
Image Classification (Q)
|
99% |
15885
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7335
118.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9315
151.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5471
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
70246
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
236677
277.4 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.6 IPS |
|
|
Object Detection (HP)
|
100% |
11033
875.1 IPS |
|
|
Object Detection (Q)
|
92% |
12697
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
1838
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
22119
262.8 IPS |
|
|
Face Detection (Q)
|
97% |
46081
549.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2419
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41640
320.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
102745
824.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14013
18.0 IPS |
|
|
Style Transfer (HP)
|
98% |
56803
73.2 IPS |
|
|
Style Transfer (Q)
|
98% |
210417
271.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2074
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28503
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39751
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (Q)
|
95% |
3571
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (Q)
|
67% |
2480
48.3 IPS |
