Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
946
Single Precision Score
1333
Half Precision Score
2851
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | January 01 2025 03:40 AM |
| Views | 2 |
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% |
559
103.9 IPS |
|
|
Image Classification (HP)
|
100% |
715
133.0 IPS |
|
|
Image Classification (Q)
|
99% |
3307
616.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
434
7.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1181
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2344
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3542
4.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
7868
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (HP)
|
99% |
811
64.5 IPS |
|
|
Object Detection (Q)
|
86% |
1900
152.7 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
3431
40.8 IPS |
|
|
Face Detection (Q)
|
97% |
5014
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1061
8.18 IPS |
|
|
Depth Estimation (HP)
|
98% |
1430
11.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
3903
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4853
6.24 IPS |
|
|
Style Transfer (HP)
|
100% |
5105
6.56 IPS |
|
|
Style Transfer (Q)
|
98% |
15090
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
702
25.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1518
56.2 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
376
501.8 IPS |
|
|
Text Classification (Q)
|
97% |
877
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1083
18.7 IPS |
|
|
Machine Translation (Q)
|
65% |
1550
31.1 IPS |
