Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition
Geekbench AI Score
514
Single Precision Score
14475
Half Precision Score
30286
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | nos1609 |
| Upload Date | June 08 2025 11:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X 12-core X1E80100 @ 3.40 GHz |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition |
| Motherboard | Microsoft Corporation Microsoft Surface Pro with 5G, 11th Edition |
| 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% |
742
138.0 IPS |
|
|
Image Classification (HP)
|
100% |
9176
1.71 KIPS |
|
|
Image Classification (Q)
|
99% |
12662
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
7197
116.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15825
257.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2585
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
68657
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228477
267.8 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
10984
871.3 IPS |
|
|
Object Detection (Q)
|
92% |
14766
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
218
2.59 IPS |
|
|
Face Detection (HP)
|
100% |
19133
227.3 IPS |
|
|
Face Detection (Q)
|
97% |
48192
574.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
388
2.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
38853
299.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
87644
699.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5238
6.73 IPS |
|
|
Style Transfer (HP)
|
98% |
56835
73.3 IPS |
|
|
Style Transfer (Q)
|
98% |
244100
314.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27125
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57255
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
147
195.8 IPS |
|
|
Text Classification (HP)
|
100% |
1946
2.60 KIPS |
|
|
Text Classification (Q)
|
95% |
3147
4.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
268
4.61 IPS |
|
|
Machine Translation (HP)
|
100% |
3637
62.6 IPS |
|
|
Machine Translation (Q)
|
67% |
5171
100.6 IPS |
