Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1851
Single Precision Score
13205
Half Precision Score
23341
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 29 2024 04:39 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% |
723
134.4 IPS |
|
|
Image Classification (HP)
|
100% |
8303
1.54 KIPS |
|
|
Image Classification (Q)
|
99% |
15683
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
584
9.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
6509
105.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9204
149.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
65539
76.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
229460
269.0 IPS |
|
|
Object Detection (SP)
|
100% |
890
70.6 IPS |
|
|
Object Detection (HP)
|
100% |
9729
771.7 IPS |
|
|
Object Detection (Q)
|
92% |
10507
838.7 IPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
18641
221.5 IPS |
|
|
Face Detection (Q)
|
97% |
33504
399.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2417
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
39073
301.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
94972
762.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13734
17.7 IPS |
|
|
Style Transfer (HP)
|
98% |
55877
72.1 IPS |
|
|
Style Transfer (Q)
|
98% |
197342
254.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22915
846.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36601
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
1458
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1838
2.45 KIPS |
|
|
Text Classification (Q)
|
95% |
3096
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2143
36.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (Q)
|
67% |
1939
37.7 IPS |
