Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1777
Single Precision Score
15738
Half Precision Score
33854
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | Betancd |
| Upload Date | April 04 2025 11:40 PM |
| Views | 17 |
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 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 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% |
626
116.4 IPS |
|
|
Image Classification (HP)
|
100% |
10218
1.90 KIPS |
|
|
Image Classification (Q)
|
99% |
16559
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
543
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
8087
131.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16835
273.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4691
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
70195
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
234719
275.1 IPS |
|
|
Object Detection (SP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
11123
882.3 IPS |
|
|
Object Detection (Q)
|
92% |
18333
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
1578
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
22891
272.0 IPS |
|
|
Face Detection (Q)
|
97% |
52293
623.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2399
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
42375
326.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
102309
816.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13833
17.8 IPS |
|
|
Style Transfer (HP)
|
98% |
57682
74.4 IPS |
|
|
Style Transfer (Q)
|
98% |
255158
329.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28735
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59317
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
1369
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (Q)
|
95% |
3590
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (Q)
|
67% |
5672
110.4 IPS |
