Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2021
Single Precision Score
15217
Half Precision Score
26155
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 26 2024 10:30 AM |
| 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% |
703
130.7 IPS |
|
|
Image Classification (HP)
|
100% |
10286
1.91 KIPS |
|
|
Image Classification (Q)
|
99% |
16007
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7335
118.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9239
150.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5555
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
70346
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
242505
284.2 IPS |
|
|
Object Detection (SP)
|
100% |
841
66.7 IPS |
|
|
Object Detection (HP)
|
100% |
10794
856.2 IPS |
|
|
Object Detection (Q)
|
92% |
12770
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
1907
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
22106
262.7 IPS |
|
|
Face Detection (Q)
|
97% |
43251
515.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2477
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41557
320.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
101362
813.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14318
18.4 IPS |
|
|
Style Transfer (HP)
|
98% |
57096
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
209894
270.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28794
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39996
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (Q)
|
95% |
3550
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (Q)
|
67% |
2504
48.7 IPS |
