Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1994
Single Precision Score
15362
Half Precision Score
26462
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | hungdeihk |
| Upload Date | January 06 2025 05:21 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% |
693
128.9 IPS |
|
|
Image Classification (HP)
|
100% |
10153
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
16099
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7406
120.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9369
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5591
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
69843
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
237504
278.4 IPS |
|
|
Object Detection (SP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (HP)
|
100% |
11245
892.0 IPS |
|
|
Object Detection (Q)
|
92% |
13020
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
22815
271.1 IPS |
|
|
Face Detection (Q)
|
97% |
45930
547.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2432
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42435
326.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
101775
816.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13462
17.3 IPS |
|
|
Style Transfer (HP)
|
98% |
57220
73.8 IPS |
|
|
Style Transfer (Q)
|
98% |
209949
270.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2057
76.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28634
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40156
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (Q)
|
95% |
3587
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (Q)
|
67% |
2554
49.7 IPS |
