Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1651
Single Precision Score
14755
Half Precision Score
24796
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | GUYON |
| Upload Date | March 05 2025 03:46 PM |
| 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 Professionnel (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro, 11th Edition |
| Power Plan | Performances leves |
| 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% |
651
121.1 IPS |
|
|
Image Classification (HP)
|
100% |
10613
1.97 KIPS |
|
|
Image Classification (Q)
|
99% |
16520
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7380
119.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9326
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4529
5.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
70557
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
240114
281.4 IPS |
|
|
Object Detection (SP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (HP)
|
100% |
10705
849.1 IPS |
|
|
Object Detection (Q)
|
92% |
12160
970.7 IPS |
|
|
Face Detection (SP)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
22281
264.7 IPS |
|
|
Face Detection (Q)
|
97% |
40093
478.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2154
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
42023
323.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
102146
819.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10192
13.1 IPS |
|
|
Style Transfer (HP)
|
98% |
57279
73.9 IPS |
|
|
Style Transfer (Q)
|
98% |
203762
262.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28129
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39382
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
873
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (Q)
|
95% |
3669
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (Q)
|
67% |
1620
31.5 IPS |
