Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2023
Single Precision Score
13525
Half Precision Score
21960
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | December 27 2024 02:05 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% |
708
131.7 IPS |
|
|
Image Classification (HP)
|
100% |
7998
1.49 KIPS |
|
|
Image Classification (Q)
|
99% |
10934
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7212
116.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9058
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5663
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
69398
81.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
226367
265.3 IPS |
|
|
Object Detection (SP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (HP)
|
100% |
9538
756.6 IPS |
|
|
Object Detection (Q)
|
92% |
10596
845.8 IPS |
|
|
Face Detection (SP)
|
100% |
1856
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
21473
255.1 IPS |
|
|
Face Detection (Q)
|
97% |
39663
472.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2435
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
39295
302.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
90523
726.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14515
18.7 IPS |
|
|
Style Transfer (HP)
|
98% |
56425
72.8 IPS |
|
|
Style Transfer (Q)
|
98% |
197240
254.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24272
896.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32703
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (Q)
|
95% |
2032
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (Q)
|
67% |
2334
45.4 IPS |
