Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1843
Single Precision Score
16226
Half Precision Score
39322
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | GUYON |
| Upload Date | September 21 2025 08:14 PM |
| Views | 4 |
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 (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% |
675
125.5 IPS |
|
|
Image Classification (HP)
|
100% |
10472
1.95 KIPS |
|
|
Image Classification (Q)
|
99% |
17497
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
724
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8099
131.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22152
360.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5694
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
71256
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
243466
285.4 IPS |
|
|
Object Detection (SP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (HP)
|
100% |
11210
889.2 IPS |
|
|
Object Detection (Q)
|
92% |
21462
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
1850
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
23952
284.6 IPS |
|
|
Face Detection (Q)
|
97% |
69437
828.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2410
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
41420
319.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
106294
848.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14079
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53820
69.2 IPS |
|
|
Style Transfer (Q)
|
98% |
248343
320.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28754
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58195
2.15 KIPS |
|
|
Text Classification (SP)
|
100% |
946
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (Q)
|
95% |
4013
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4711
81.1 IPS |
|
|
Machine Translation (Q)
|
67% |
10196
198.4 IPS |
