Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2069
Single Precision Score
9966
Half Precision Score
18735
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 17 2024 03:50 AM |
| 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% |
710
132.1 IPS |
|
|
Image Classification (HP)
|
100% |
10028
1.86 KIPS |
|
|
Image Classification (Q)
|
99% |
15019
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
7086
114.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8523
138.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
70019
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
217079
254.4 IPS |
|
|
Object Detection (SP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (HP)
|
100% |
8937
708.9 IPS |
|
|
Object Detection (Q)
|
82% |
12382
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
1889
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
20155
239.5 IPS |
|
|
Face Detection (Q)
|
97% |
38334
457.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2584
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
39073
301.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
78438
637.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16685
21.4 IPS |
|
|
Style Transfer (HP)
|
23% |
2630
90.5 IPS |
|
|
Style Transfer (Q)
|
98% |
169144
218.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26967
995.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37863
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1787
2.39 KIPS |
|
|
Text Classification (Q)
|
95% |
2936
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2064
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (Q)
|
37% |
274
26.7 IPS |
