Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1936
Single Precision Score
14584
Half Precision Score
24864
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 28 2024 11:30 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% |
457
85.0 IPS |
|
|
Image Classification (HP)
|
100% |
9222
1.72 KIPS |
|
|
Image Classification (Q)
|
99% |
16133
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
687
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7374
119.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9331
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6084
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
70178
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
234377
274.7 IPS |
|
|
Object Detection (SP)
|
100% |
883
70.1 IPS |
|
|
Object Detection (HP)
|
100% |
10024
795.1 IPS |
|
|
Object Detection (Q)
|
92% |
10964
875.1 IPS |
|
|
Face Detection (SP)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (HP)
|
100% |
21859
259.7 IPS |
|
|
Face Detection (Q)
|
97% |
44314
528.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2530
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
38950
300.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
95618
767.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15622
20.1 IPS |
|
|
Style Transfer (HP)
|
98% |
57101
73.6 IPS |
|
|
Style Transfer (Q)
|
98% |
207307
267.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28351
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37104
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
1453
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (Q)
|
95% |
3237
4.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2853
49.1 IPS |
|
|
Machine Translation (Q)
|
67% |
2213
43.1 IPS |
