Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition
Geekbench AI Score
2215
Single Precision Score
15496
Half Precision Score
35339
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | soha |
| Upload Date | May 21 2025 10:44 AM |
| Views | 12 |
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% |
743
138.1 IPS |
|
|
Image Classification (HP)
|
100% |
10405
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
17846
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8100
131.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17330
281.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6706
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
69843
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
240605
282.0 IPS |
|
|
Object Detection (SP)
|
100% |
945
74.9 IPS |
|
|
Object Detection (HP)
|
100% |
11093
879.9 IPS |
|
|
Object Detection (Q)
|
92% |
20786
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
1748
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
24088
286.2 IPS |
|
|
Face Detection (Q)
|
97% |
59259
706.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2630
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40641
313.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
103414
825.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17262
22.2 IPS |
|
|
Style Transfer (HP)
|
98% |
56160
72.4 IPS |
|
|
Style Transfer (Q)
|
98% |
252112
325.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2414
89.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28362
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59271
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (Q)
|
95% |
3440
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (Q)
|
67% |
6236
121.4 IPS |
