Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1856
Single Precision Score
2919
Half Precision Score
5666
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 11 2024 06:18 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
705
131.2 IPS |
|
|
Image Classification (HP)
|
100% |
2780
517.1 IPS |
|
|
Image Classification (Q)
|
99% |
6142
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3063
49.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2287
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5706
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
7022
8.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
14226
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (HP)
|
99% |
1731
137.7 IPS |
|
|
Object Detection (Q)
|
86% |
5059
406.6 IPS |
|
|
Face Detection (SP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
6513
77.4 IPS |
|
|
Face Detection (Q)
|
97% |
10372
123.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2343
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3105
24.0 IPS |
|
|
Depth Estimation (Q)
|
79% |
9602
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11255
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9560
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29320
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3409
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
623
831.9 IPS |
|
|
Text Classification (Q)
|
97% |
1182
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (HP)
|
99% |
2561
44.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2869
57.7 IPS |
