Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1262
Single Precision Score
14686
Half Precision Score
24907
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 26 2024 04:12 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% |
716
133.1 IPS |
|
|
Image Classification (HP)
|
100% |
10233
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
16845
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
600
9.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
7094
115.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8868
144.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
733
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
68970
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
228235
267.5 IPS |
|
|
Object Detection (SP)
|
100% |
835
66.2 IPS |
|
|
Object Detection (HP)
|
100% |
9686
768.3 IPS |
|
|
Object Detection (Q)
|
92% |
11029
880.3 IPS |
|
|
Face Detection (SP)
|
100% |
270
3.21 IPS |
|
|
Face Detection (HP)
|
100% |
20494
243.5 IPS |
|
|
Face Detection (Q)
|
97% |
39638
472.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2381
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40195
309.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
93896
753.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13484
17.3 IPS |
|
|
Style Transfer (HP)
|
98% |
56691
73.1 IPS |
|
|
Style Transfer (Q)
|
98% |
204836
264.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2091
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28269
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39622
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (Q)
|
95% |
3487
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (Q)
|
67% |
2320
45.1 IPS |
