Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2009
Single Precision Score
11024
Half Precision Score
21291
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 20 2024 10:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 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 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
691
128.4 IPS |
|
|
Image Classification (HP)
|
100% |
10855
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
17039
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7525
122.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9274
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5750
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
70424
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
239542
280.8 IPS |
|
|
Object Detection (SP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (HP)
|
100% |
11159
885.1 IPS |
|
|
Object Detection (Q)
|
82% |
14592
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
22716
269.9 IPS |
|
|
Face Detection (Q)
|
97% |
46020
548.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2550
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42240
325.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
79373
645.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13968
18.0 IPS |
|
|
Style Transfer (HP)
|
23% |
2753
94.8 IPS |
|
|
Style Transfer (Q)
|
98% |
179139
231.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2232
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28794
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40779
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2009
2.68 KIPS |
|
|
Text Classification (Q)
|
95% |
3473
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2703
46.6 IPS |
|
|
Machine Translation (Q)
|
37% |
374
36.4 IPS |
