Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1931
Single Precision Score
14292
Half Precision Score
24548
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 22 2024 01:31 AM |
| Views | 3 |
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% |
657
122.1 IPS |
|
|
Image Classification (HP)
|
100% |
9558
1.78 KIPS |
|
|
Image Classification (Q)
|
99% |
14638
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7340
119.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9081
147.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5267
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
69905
81.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
230045
269.6 IPS |
|
|
Object Detection (SP)
|
100% |
795
63.1 IPS |
|
|
Object Detection (HP)
|
100% |
9693
768.9 IPS |
|
|
Object Detection (Q)
|
92% |
10722
855.8 IPS |
|
|
Face Detection (SP)
|
100% |
1904
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
20876
248.0 IPS |
|
|
Face Detection (Q)
|
97% |
41513
495.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2408
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
38399
295.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
94731
760.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13398
17.2 IPS |
|
|
Style Transfer (HP)
|
98% |
53891
69.5 IPS |
|
|
Style Transfer (Q)
|
98% |
198996
256.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27167
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38424
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (Q)
|
95% |
3638
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2996
51.6 IPS |
|
|
Machine Translation (Q)
|
67% |
2216
43.1 IPS |
