Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition
Geekbench AI Score
2163
Single Precision Score
13737
Half Precision Score
28997
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | soha |
| Upload Date | May 21 2025 09:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
738
137.2 IPS |
|
|
Image Classification (HP)
|
100% |
9677
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
17345
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7728
125.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15203
247.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6774
7.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
66397
77.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
204822
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.4 IPS |
|
|
Object Detection (HP)
|
100% |
10582
839.4 IPS |
|
|
Object Detection (Q)
|
92% |
16950
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
1962
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
18035
214.3 IPS |
|
|
Face Detection (Q)
|
97% |
45887
547.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2624
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40037
308.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
92885
741.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17280
22.2 IPS |
|
|
Style Transfer (HP)
|
98% |
54497
70.3 IPS |
|
|
Style Transfer (Q)
|
98% |
236349
304.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25992
959.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
52678
1.95 KIPS |
|
|
Text Classification (SP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (Q)
|
95% |
2182
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2733
47.1 IPS |
|
|
Machine Translation (Q)
|
67% |
3965
77.2 IPS |
