Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1871
Single Precision Score
2937
Half Precision Score
5609
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 27 2024 12:53 AM |
| Views | 7 |
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% |
695
129.2 IPS |
|
|
Image Classification (HP)
|
100% |
2823
525.0 IPS |
|
|
Image Classification (Q)
|
99% |
5502
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2599
42.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2304
37.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5635
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
6347
7.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
13744
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
632
50.1 IPS |
|
|
Object Detection (HP)
|
99% |
2070
164.6 IPS |
|
|
Object Detection (Q)
|
86% |
5277
424.1 IPS |
|
|
Face Detection (SP)
|
100% |
1722
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
6530
77.6 IPS |
|
|
Face Detection (Q)
|
97% |
10888
129.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2433
18.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3381
26.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
9661
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11677
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9622
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31198
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1516
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3547
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
606
808.3 IPS |
|
|
Text Classification (Q)
|
97% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2008
34.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2545
44.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2590
52.0 IPS |
