Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
486
Single Precision Score
602
Half Precision Score
1136
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 12 2024 04:43 AM |
| Views | 14 |
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% |
174
32.4 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.8 IPS |
|
|
Image Classification (Q)
|
99% |
972
181.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
743
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1202
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
878
1.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
1617
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
88
7.01 IPS |
|
|
Object Detection (HP)
|
99% |
116
9.21 IPS |
|
|
Object Detection (Q)
|
86% |
364
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
249
2.96 IPS |
|
|
Face Detection (HP)
|
100% |
274
3.26 IPS |
|
|
Face Detection (Q)
|
97% |
415
4.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
162
1.25 IPS |
|
|
Depth Estimation (HP)
|
98% |
175
1.36 IPS |
|
|
Depth Estimation (Q)
|
79% |
291
2.31 IPS |
|
|
Style Transfer (SP)
|
100% |
3366
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3858
4.96 IPS |
|
|
Style Transfer (Q)
|
98% |
6182
7.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
349
12.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3586
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
675
900.5 IPS |
|
|
Text Classification (Q)
|
97% |
1088
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (HP)
|
99% |
2390
41.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2914
58.6 IPS |
