Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1854
Single Precision Score
1253
Half Precision Score
4994
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 17 2024 03:26 PM |
| Views | 1 |
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% |
723
134.5 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.9 IPS |
|
|
Image Classification (Q)
|
99% |
3996
745.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2772
44.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2269
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5223
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
4071
4.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
22818
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (HP)
|
99% |
527
41.9 IPS |
|
|
Object Detection (Q)
|
88% |
3827
306.8 IPS |
|
|
Face Detection (SP)
|
100% |
1701
20.2 IPS |
|
|
Face Detection (HP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (Q)
|
97% |
6377
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2298
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
1958
15.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
8128
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12826
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7305
9.39 IPS |
|
|
Style Transfer (Q)
|
98% |
29728
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
677
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3040
112.6 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
386
515.8 IPS |
|
|
Text Classification (Q)
|
97% |
1107
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2071
35.7 IPS |
|
|
Machine Translation (HP)
|
99% |
1493
25.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2353
52.5 IPS |
