Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1702
Single Precision Score
2648
Half Precision Score
5516
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | hungdeihk |
| Upload Date | January 06 2025 05:30 AM |
| Views | 1 |
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% |
676
125.6 IPS |
|
|
Image Classification (HP)
|
100% |
2784
517.8 IPS |
|
|
Image Classification (Q)
|
99% |
6304
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2090
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5469
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7506
8.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
21511
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
99% |
1425
113.4 IPS |
|
|
Object Detection (Q)
|
86% |
4375
351.6 IPS |
|
|
Face Detection (SP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
5575
66.2 IPS |
|
|
Face Detection (Q)
|
97% |
9930
118.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2283
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3595
27.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
8354
66.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10834
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8823
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25280
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3167
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1268
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
547
729.9 IPS |
|
|
Text Classification (Q)
|
97% |
1091
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2507
43.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2907
58.4 IPS |
