Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
250
Single Precision Score
13196
Half Precision Score
21858
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 21 2024 02:44 AM |
| Views | 2 |
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 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% |
162
30.1 IPS |
|
|
Image Classification (HP)
|
100% |
8833
1.64 KIPS |
|
|
Image Classification (Q)
|
99% |
12744
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
174
2.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
6661
108.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8740
142.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1184
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
67900
79.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
226407
265.4 IPS |
|
|
Object Detection (SP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (HP)
|
100% |
8372
664.1 IPS |
|
|
Object Detection (Q)
|
92% |
10947
873.8 IPS |
|
|
Face Detection (SP)
|
100% |
186
2.21 IPS |
|
|
Face Detection (HP)
|
100% |
16386
194.7 IPS |
|
|
Face Detection (Q)
|
97% |
29218
348.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
238
1.83 IPS |
|
|
Depth Estimation (HP)
|
99% |
40137
309.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
88872
713.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1714
2.20 IPS |
|
|
Style Transfer (HP)
|
98% |
56041
72.3 IPS |
|
|
Style Transfer (Q)
|
98% |
202692
261.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26042
961.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31690
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
85
113.3 IPS |
|
|
Text Classification (HP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (Q)
|
95% |
3026
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
169
2.91 IPS |
|
|
Machine Translation (HP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (Q)
|
67% |
1787
34.8 IPS |
