Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2020
Single Precision Score
10488
Half Precision Score
16690
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | scurry |
| Upload Date | December 08 2024 02:43 PM |
| Views | 3 |
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% |
715
133.1 IPS |
|
|
Image Classification (HP)
|
100% |
6435
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
9296
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6696
108.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8490
138.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4977
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
67139
78.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
215251
252.3 IPS |
|
|
Object Detection (SP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (HP)
|
100% |
7825
620.7 IPS |
|
|
Object Detection (Q)
|
92% |
6971
556.4 IPS |
|
|
Face Detection (SP)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
13889
165.0 IPS |
|
|
Face Detection (Q)
|
97% |
24486
291.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2513
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
36681
282.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
60682
486.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14439
18.6 IPS |
|
|
Style Transfer (HP)
|
98% |
49466
63.8 IPS |
|
|
Style Transfer (Q)
|
98% |
174917
225.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17495
646.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28831
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
95% |
1088
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (Q)
|
67% |
1738
33.8 IPS |
