Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1718
Single Precision Score
2818
Half Precision Score
5793
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 30 2024 03:34 PM |
| Views | 2 |
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 Famille (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Power Plan | Utilisation normale |
| 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% |
726
135.0 IPS |
|
|
Image Classification (HP)
|
100% |
2980
554.2 IPS |
|
|
Image Classification (Q)
|
99% |
6434
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
780
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2289
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5318
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
8775
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
21296
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
99% |
1679
133.6 IPS |
|
|
Object Detection (Q)
|
86% |
4612
370.7 IPS |
|
|
Face Detection (SP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
6541
77.7 IPS |
|
|
Face Detection (Q)
|
97% |
10977
130.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2541
19.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3396
26.3 IPS |
|
|
Depth Estimation (Q)
|
79% |
10918
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13254
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10076
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30298
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
759
28.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2476
91.7 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
536
715.3 IPS |
|
|
Text Classification (Q)
|
97% |
1101
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1877
32.3 IPS |
|
|
Machine Translation (HP)
|
99% |
2595
44.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2976
59.8 IPS |
