Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2027
Single Precision Score
15692
Half Precision Score
35015
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | GUYON |
| Upload Date | May 27 2025 08:43 PM |
| Views | 10 |
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 Professionnel Insider Preview (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% |
693
128.9 IPS |
|
|
Image Classification (HP)
|
100% |
10303
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
17476
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7995
129.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16946
275.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5121
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
70962
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
239571
280.8 IPS |
|
|
Object Detection (SP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (HP)
|
100% |
10906
865.1 IPS |
|
|
Object Detection (Q)
|
92% |
19960
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
23700
281.6 IPS |
|
|
Face Detection (Q)
|
97% |
59663
711.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2436
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41952
323.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
104690
835.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14033
18.0 IPS |
|
|
Style Transfer (HP)
|
98% |
57191
73.7 IPS |
|
|
Style Transfer (Q)
|
98% |
256583
330.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28409
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58700
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (Q)
|
95% |
3386
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2214
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (Q)
|
67% |
6142
119.5 IPS |
