Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2013
Single Precision Score
13560
Half Precision Score
22009
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 27 2024 12:50 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% |
7983
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
11034
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
811
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7229
117.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9153
148.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5460
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
68249
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
226923
266.0 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
100% |
9695
769.0 IPS |
|
|
Object Detection (Q)
|
92% |
10927
872.2 IPS |
|
|
Face Detection (SP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
21165
251.5 IPS |
|
|
Face Detection (Q)
|
97% |
38879
463.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2460
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
39621
305.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
90088
722.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14285
18.4 IPS |
|
|
Style Transfer (HP)
|
98% |
55920
72.1 IPS |
|
|
Style Transfer (Q)
|
98% |
198933
256.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24477
903.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32375
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (Q)
|
95% |
2034
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2088
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3075
53.0 IPS |
|
|
Machine Translation (Q)
|
67% |
2322
45.2 IPS |
