Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
1944
Single Precision Score
11866
Half Precision Score
27335
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | Betancd |
| Upload Date | April 24 2025 04:55 AM |
| Views | 2 |
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% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
8466
1.57 KIPS |
|
|
Image Classification (Q)
|
99% |
3578
667.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7060
114.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16703
271.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3956
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
46840
54.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
175206
205.4 IPS |
|
|
Object Detection (SP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (HP)
|
100% |
10551
836.9 IPS |
|
|
Object Detection (Q)
|
92% |
17348
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
22387
266.0 IPS |
|
|
Face Detection (Q)
|
97% |
55339
659.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2209
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
36954
284.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
100685
803.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14868
19.1 IPS |
|
|
Style Transfer (HP)
|
98% |
55508
71.6 IPS |
|
|
Style Transfer (Q)
|
98% |
244453
315.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2383
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20571
759.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
48561
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
600
801.3 IPS |
|
|
Text Classification (Q)
|
95% |
3442
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (Q)
|
67% |
5634
109.6 IPS |
