Microsoft Corporation Microsoft Surface Pro, 11th Edition
Geekbench AI Score
2140
Single Precision Score
14677
Half Precision Score
32795
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | Betancd |
| Upload Date | April 05 2025 05:02 PM |
| 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% |
738
137.2 IPS |
|
|
Image Classification (HP)
|
100% |
9684
1.80 KIPS |
|
|
Image Classification (Q)
|
99% |
15859
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7831
126.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
16671
271.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6139
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
68011
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
214933
251.9 IPS |
|
|
Object Detection (SP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (HP)
|
100% |
10864
861.7 IPS |
|
|
Object Detection (Q)
|
92% |
19165
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
21330
253.5 IPS |
|
|
Face Detection (Q)
|
97% |
59512
709.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2548
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
40606
312.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
92516
738.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16197
20.8 IPS |
|
|
Style Transfer (HP)
|
98% |
55778
71.9 IPS |
|
|
Style Transfer (Q)
|
98% |
244168
314.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26342
972.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
59278
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2054
2.74 KIPS |
|
|
Text Classification (Q)
|
95% |
3081
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2337
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (Q)
|
67% |
5382
104.7 IPS |
